UK Remote or Belfast

Serial tech entrepreneur Ilir Sela started Slice in 2010 with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over 18,000 restaurants (that’s nearly triple Domino’s U.S. network!) with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Challenge to Solve

Provide Slice with up to date data to grow the business and to empower independent pizzeria owners to make the best data driven decisions through insights that ensure future success.

The Role

You will be responsible for leading data modelling and dataset development across the team. You’ll be at the forefront of our data strategy. Partnering closely with business and product teams,  to fuel data-driven decisions throughout the company. Your leadership will guide our data architecture expansion, ensuring smooth data delivery and maintaining top-notch data quality. Drawing on your expertise, you’ll steer our tech choices and keep us at the cutting edge of the field. You’ll get to code daily and provide your insights into best practices to the rest of the team.

The Team

You’ll work with a team of skilled data engineers daily, providing your expertise to their reviews, as well as working on your own exciting projects with teams across the business. You’ll have a high degree of autonomy and the chance to impact many areas of the business. You will optimise data flow and collection for cross-functional teams and support software developers, business intelligence, and data scientists on data initiatives using this to help to support product launches and supporting Marketing efforts to grow the business. This role reports to the Director of Data Engineering.

The Winning Recipe

We’re looking for creative, entrepreneurial engineers who are excited to build world-class products for small business counters. These are the core competencies this role calls for:

• Strong track record of designing and implementing modern cloud data processing architectures using programming languages such as Java, Scala, or Python and technologies like Spark
• Expert-level SQL skills
• Extensive experience in data modelling and design, building out the right structures to deliver for various business and product domains
• Strong analytical abilities and a history of using data to identify opportunities for improvement and where data can help drive the business towards its goals
• Experience with message queuing, stream processing using frameworks such as Flink or KStreams and highly scalable big data data stores, as well as storage and query pattern design with NoSQL stores
• Proven leadership skills, with a track record of successfully leading complex engineering projects and mentoring junior engineers, as well as working with cross-functional teams and external stakeholders in a dynamic environment
• Familiarity with serverless technologies and the ability to design and implement scalable and cost-effective data processing architectures

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to medical, dental, and vision plans
• Flexible working hours
• Generous time off policies
• Annual conference attendance and training/development budget
• Market leading maternity and paternity schemes
• Discounts for local pizzerias (of course)

The Hiring Process

Here’s what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 1-3 weeks to complete and you’d be expected to start on a specific date.

1. 30 minute introductory meeting
2. 30 minute hiring manager meeting
3. 60 minute pairing interview
4. 45 minute interview interview
5. 30 minute CTO interview
6. Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Company Description

Healthcare providers spend roughly $20B annually on premiums for medical professional liability (“MPL”) insurance, $5-6B of which is spent for physicians. Incumbent carriers utilize outdated risk selection, underwriting, and sales processes. For the first time in 10 years, The MPL market is currently in a hardening cycle. While incumbent carriers are increasing rates to make up for underwriting losses, the environment is ripe for an innovative disruptor to capture market share by deploying artificial intelligence.

Rubicon Founders, an entrepreneurial firm focused on building and growing transformational healthcare companies, has launched Indigo to address this issue. Backed by Oak HC/FT, this company will disrupt the medical professional liability market by offering more competitive products to providers. Benefitting from significant potential cost savings as a result, providers may reallocate resources to invest more directly in patient or staff care. This company intends to fulfill Rubicon Founder’s mission of creating enduring value by impacting people in a measurable way.   

Position Description

Are you an expert data engineer with a passion for making a difference in the healthcare industry? If so, we want you to join our team at Indigo, where we're using technology to transform medical professional liability insurance. Our AI driven underwriting process and modern technology streamline the insurance process and equip quality physicians and groups with the coverage they need.

As a senior data engineer you will own the various data components of our system, which includes our data model architecture, our data pipeline / ETL, and any ML data engineering needs. You will help us leverage existing data platforms and databases with best practices to ensure that the data strategy is coherent, that our data systems are highly available, secure, and scalable. You will work with cross-functional teams including business stakeholders, product managers, and data scientists to ensure our data pipeline system meets business requirements and adheres to best practices.  

We are a remote distributed team who gathers with intention. You will thrive here if you find energy working from home and getting together to build relationships. At Indigo, you'll have the opportunity to contribute to a meaningful mission that makes a difference in the lives of healthcare providers and their patients.

Responsibilities:

• Design and build the Indigo data pipeline and ETL process.
• Design and build the Indigo application datastore architecture and implementation 
• Define a governance and lineage strategy.
• Define and implement security across our data systems.
• Participate in code reviews and ensure the code is of high quality.
• Collaborate with cross-functional teams including product and engineering to understand business requirements and translate them into technical requirements.
• Keep up to date with emerging trends in data engineering and contribute to improving our development processes.
  
  

Requirements:

• Bachelor’s degree in CS or similar; masters advantageous
• 5+ years of data engineering experience 
• Expert SQL and Python or Javascript (Node.js)
• Experience with AWS services such as EC2, Lambda, RDS, DynamoDB, and S3.
• Experience with Snowflake, dbt
• Strong understanding of data design principles
• Experience designing and building data products from concept to productization.
• Experience with automation in the processes of data definition, migration.
• Excellent design and problem-solving skills.
• Self starter, highly autonomous, thrives in a remote distributed environment

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.

• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.

• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models

• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers

• Seek ways to continually improve the operations, monitoring and performance of the data warehouse

• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.

• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 

• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.

• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)

• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.

• Solid grasp to data warehousing methodologies like Kimball and Inmon

• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)

• Experience with workflow orchestration management engines such as Airflow & Cloud Composer

• Hands on experience with Data Infra tools like Kubernetes, Docker

• Expert proficiency in SQL

• Strong Python proficiency

• Experience with ML Operations is a plus.

The Data Engineering team designs, develops and operates big data services and tools to provide reporting and analytics for our customers and for the business from concept to delivery. We do this on a massive scale, capturing billions of events a day from our video players across the globe. Our team is responsible for deploying to production while delivering differentiated value to our customers. We are seeking a seasoned leader and data practitioner with strong technical depth to drive engineering platforms, initiatives and partnerships across the company. In this role reporting to the SVP, Head of Data, you will be responsible for leading an organizational effort to build and scale state-of-the-art data platforms to solve various data-driven business use cases and needs. These data platforms will be powering data products and data initiatives across the company, including Video, Billing, Financials, Ad Monetization, Audience Insights, Product Analytics, Marketing, Customer Success and Personalization.

Job Responsibilities 

• Hire, develop, motivate, inspire and lead a team of data engineers and architects
• Develop, architect, propose, integrate and implement core data engineering, business intelligence, and data warehouse frameworks, systems, tools, roadmaps, goals, and best practices in support of key company data initiatives
• Provide technical thought leadership to cross-functional stakeholders and leaders to ensure team priorities and output directly impacts company strategy, direction and growth
• Provide technical and architectural oversight for systems and projects that are required to be reliable, massively scalable, highly available (99.999% uptime) and maintainable.
• Champion security and governance and ensure data engineering team adheres to all company guidelines
• Manage data infrastructure/cloud cost and responsible for improving efficiency and performance
• Introduce best practices and principles to enable consistent delivery and enable alignment with long term direction.
• Communicate effectively and present to all levels of the organization and to technical and non-technical audiences.
• Develop deep partnership with cross-functional teams with varying backgrounds, from the highly technical to the highly creatives

Qualifications/Experience 

• Bachelor’s degree in Engineering, Computer Science or similar discipline. Advanced degree is a plus.
• 10+ years of experience in Data Engineering or Engineering fields with increasing responsibility and strong track record of technical competencies and business strategy, both as an individual contributor and managing teams.
• 5+ years of experience in building, managing, and leading a high-performing data engineering team
• Ability to develop and execute roadmaps and state-of-the-art data platforms to drive and support decisions and initiative across the organization
• Track record of implementing and scaling secure data platform for startups, enterprise or large/public companies
• Strengths in at least a few programming languages - Python, Java, Scala 
• Expertise in building and managing large volume data processing (both streaming and batch) platforms
• Expertise in scaling data environments with distributed/RT systems, e.g. Apache Spark, Flink, and self-serve visualization environments
• Expertise in cloud based and SaaS data warehouse (e.g. AWS/GCP, Snowflake, NoSQL) and developing ETL/ELT pipelines
• Experience integrating and building data platform in support of BI (Tableau/Looker), Analytics, Data Science, and real-time applications
• Thrive on empowering team members and view the team's success as own
• Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar is a plus
• Experience in building micro services and managing containerized deployments, preferably using Kubernetes
• Experience with agile methodologies
• Video streaming experience across OTT, Live and Video on Demand platforms is highly desired
• Experience with video streaming monetization platforms and data driven decision making for AVOD, SVOD, TVOD, FAST and Ad optimization is highly desired

About Brightcove 

Brightcove is a diverse, global team of smart, passionate people who are revolutionizing the way organizations deliver video. We’re hyped up about storytelling, and about helping organizations reach their audiences in bold and innovative ways. When video is done right, it can have a powerful and lasting effect. Hearts open. Minds change. 

Since 2004, Brightcove has been supporting customers that are some of the largest media companies, enterprises, events, and non-profit organizations in the world. There are over 600 Brightcovers globally, each of us representing our unique talents and we have built a culture that values authenticity, individual empowerment, excellence and collaboration. This culture enables us to harness the incredible power of video and create an environment where you will want to grow, stay and thrive. Bottom line: We take our video seriously, and we take great pride in doing it as #oneteam.

WORKING AT BRIGHTCOVE 

We strive to provide our employees with an environment where they can do their best work and be their best selves. This includes a focus on our employees’ work experience, actively creating a culture where inclusion and growth are at the center, and hiring, recognizing, promoting employees who are committed to living and breathing these same ideals.  

While remote work arrangements are available for most positions we also offer hybrid or on-site working options in our Boston office, located in beautiful Fort Point harbor. Employees enjoy access to fully-stocked kitchens and social activities including: happy hours, trivia, ping pong tournaments, and events and celebrations of all kinds. You will have plenty of opportunities to meet your colleagues around the globe as we also celebrate a variety of personal interests with organized groups and clubs including an Employee Action Committee, Women of Brightcove, Pride of Brightcove, Parents of Brightcove … and more!

We recognize that no candidate is perfect and Brightcove would love to have the chance to get to know you. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. Brightcove embraces diversity and seeks candidates who support persons of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply. If you need any accommodations for your interview, please emailrecruiting@brightcove.com. 

The BrightcovePrivacy Policyexplains the processing and purposes of any personal information.

#LI-Remote

BC21065

About Invoca:

Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.

About the Engineering Team:

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

You Will:

Invoca offers a unique opportunity to make massive contributions to machine learning and data science as it applies to conversation intelligence, marketing, sales and user experience optimization.

You are excited about this opportunity because you get to:

• Design and develop highly performant and scalable data storage solutions
• Extend and enhance the architecture of Invoca’s data infrastructure and pipelines
• Deploy and fine-tune machine learning models within an API-driven environment, ensuring scalability, efficiency, and optimal performance.
• Expand and optimize our Extract, Transform, and Load (ETL) processes to include various structured and unstructured data sources within the Invoca Platform.
• Evaluate and implement new technologies as needed and work with technical leadership to drive adoption.
• Collaborate with data scientists, engineering teams, analysts, and other stakeholders to understand data requirements and deliver solutions on behalf of our customers
• Support diversity, equity and inclusion at Invoca

At Invoca, our Senior Data Engineers benefit from mentorship provided by experts spanning our data science, engineering, and architecture teams. Our dedicated data science team is at the forefront of leveraging a blend of cutting-edge technology, including our proprietary and patented solutions, along with tools from leading vendors, to develop an exceptionally scalable data modeling platform.

Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients. Your pivotal role will focus on optimizing model accessibility and usability, thereby expediting model integration within our feature engineering teams. Ultimately, this streamlined process ensures swift model adoption, translating to enhanced value for our customers.

You Have:

We are excited about you because you have:

• 3+ years of professional experience in Data Engineering or a related area of data science or software engineering
• Advanced proficiency in Python, including expertise in data processing libraries (e.g.,  spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks
• Advanced proficiency using python API frameworks (e.g., FastAPI, Ray/AnyScale, AWS Sagemaker) to build, host. and optimize machine learning model inference APIs.
• Intermediate proficiency working with the Databricks platform (e.g. Unity Catalog, Job/Compute, Deltalake) (or similar platform) for data engineering and analytics tasks
• Intermediate proficiency working with the Machine Learning and Large Language Model (LLM) tools from AWS (e.g., Sagemaker, Bedrock) or other cloud vendors such Azure, or Google Cloud Platform
• Intermediate proficiency with big data technologies and frameworks  (e.g., Spark, Hadoop)
• Intermediate proficiency with SQL and relational databases (e.g., MySQL, PostgreSQL)
• Basic proficiency in several areas apart from pure coding, such as monitoring, performance optimization, integration testing, security and more
• Basic proficiency with Kafka (or similar stream-processing software) is a plus
• Bachelor's Degree or equivalent experience preferred

Salary, Benefits & Perks:

Teammates begin receiving benefits on the first day of the month following or coinciding with one month of employment. Offerings include:

• Paid Time Off -Invoca encourages a work-life balance for our employees. We have an outstanding PTO policy starting at 20 days off for all full-time employees. We also offer 16 paid holidays, 10 days of Compassionate Leave, days of volunteer time, and more.
• Healthcare -Invoca offers a healthcare program that includes medical, dental, and vision coverage. There are multiple plan options to choose from. You can make the best choice for yourself, your partner, and your family.
• Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
• Stock options - All employees are invited to ownership in Invoca through stock options.
• Employee Assistance Program -Invoca offers well-being support on issues ranging from personal matters to everyday-life topics through the WorkLifeMatters program.
• Paid Family Leave -Invoca offers up to 6 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
• Paid Medical Leave - Invoca offers up to 12 weeks of 100% paid leave for childbirth and medical needs.
• Sabbatical -We thank our long-term team members with an additional week of PTO and a bonus after 7 years of service.
• Wellness Subsidy - Invoca provides a wellness subsidy applicable to a gym membership, fitness classes, and more.
• Position Base Range - $139,500 to $175,000Salary Range / plus bonus potential
• Please note, per Invoca's COVID-19 policy, depending on your vaccine verification status, you may be required to work only from home / remotely. At this time, travel and in-person meetings will require verification. This policy is regularly reviewed and subject to change at any time

Recently, we’ve noticed a rise in phishing attempts targeting individuals who are applying to our job postings. These fraudulent emails, posing as official communications from Invoca aim to deceive individuals into sharing sensitive information. These attacks have attempted to use our name and logo, and have tried to impersonate individuals from our HR team by claiming to represent Invoca. 

We will never ask you to send financial information or other sensitive information via email. 

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

#LI-Remote

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Analytics

The Role: Principal Data Engineer

As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact. You'll provide Architectural solutions that are efficient, robust, extensible and are competitive within business and industry context. You'll collaborate with senior data engineers and analysts, guiding them towards their career goals at Gemini. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

• Focused on technical leadership, defining patterns and operational guidelines for their vertical(s)
• Independently scopes, designs, and delivers solutions for large, complex challenges
• Provides oversight, coaching and guidance through code and design reviews
• Designs for scale and reliability with the future in mind. Can do critical R&D
• Successfully plans and delivers complex, multi-team or system, long-term projects, including ones with external dependencies
• Identifies problems that need to be solved and advocates for their prioritization
• Owns one or more large, mission-critical systems at Gemini or multiple complex, team level projects, overseeing all aspects from design through implementation through operation
• Collaborates with coworkers across the org to document and design how systems work and interact
• Leads large initiatives across domains, even outside their core expertise. Coordinates large initiatives
• Designs, architects and implements best-in-class Data Warehousing and reporting solutions
• Builds real-time data and reporting solutions
• Develops new systems and tools to enable the teams to consume and understand data more intuitively

Minimum Qualifications:

• 10+ years experience in data engineering with data warehouse technologies
• 10+ years experience in custom ETL design, implementation and maintenance
• 10+ years experience with schema design and dimensional data modeling
• Experience building real-time data solutions and processes
• Advanced skills with Python and SQL are a must
• Experience and expertise in Databricks, Spark, Hadoop etc.
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc)
• Strong computer science fundamentals including data structures and algorithms
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication skills

Preferred Qualifications:

• Kafka, HDFS, Hive, Cloud computing, machine learning, LLMs, NLP & Web development experience is a plus
• NoSQL experience a plus
• Deep knowledge of Apache Airflow
• Expert experience implementing complex, enterprise-wide data transformation and processing solutions
• Experience with Continuous integration and deployment
• Knowledge and experience of financial markets, banking or exchanges
• Web development skills with HTML, CSS, or JavaScript

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $172,000 - $215,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AH1

Your impact

At Handshake, we are assembling a team of dynamic engineers who are passionate about creating high-quality, impactful products. As a Senior Data Engineer, you will play a key role in driving the architecture, implementation, and evolution of our cutting-edge data platform. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Our primary focus is on building a robust data platform that empowers all teams to develop data-driven features while ensuring that every facet of the business has access to the right data for making informed conclusions. While this individual will work closely in collaboration with our ML teams, they will also be supporting our businesses data needs as a whole.

Your role

• Technical leadership: Taking ownership of the data engineering function and providing technical guidance to the data engineering team. Mentoring junior data engineers, fostering a culture of learning, and promoting best practices in data engineering.
• Collaborating with cross-functional teams: Working closely with product managers, product engineers, and other stakeholders to define data requirements, design data solutions, and deliver high-quality, data-driven features.
• Data architecture and design: Designing and implementing scalable and robust data pipelines, data services, and data products that meet business needs and adhere to best practices. Staying abreast of emerging technologies and tools in the data engineering space, evaluating their potential impact on the data platform, and making strategic recommendations.
• Performance optimization: Identifying performance bottlenecks in data processes and implementing solutions to enhance data processing efficiency.
• Data quality and governance: Ensuring data integrity, reliability, and security through the implementation of data governance policies and data quality monitoring.
• Advancing our Generative AI strategy: Leveraging your Data Engineering knowledge to design and implement data pipelines that support our Generative AI initiatives, advising and working in collaboration with our ML teams.

Your experience

• Extensive data engineering experience: A proven track record in designing and implementing large-scale, complex data pipelines, data warehousing solutions, and data services. Deep knowledge of data engineering technologies, tools, and frameworks.
• Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more
• Advanced SQL skills: Strong expertise in SQL and experience with data modeling and database design conventions.
• Problem-solving abilities: Exceptional problem-solving skills, with the ability to tackle complex data engineering challenges and propose innovative solutions.
• Collaborative mindset: A collaborative and team-oriented approach to work, with the ability to communicate effectively with both technical and non-technical stakeholders.

Bonus areas of expertise

• Machine learning for data enrichment: Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation.
• End to end data service deployment, comfortable with product alignment of data-driven initiatives
• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
• dbt: Experience with dbt as a data transformation tool for orchestrating and organizing data pipelines.

Compensation range

$173,000-$213,580

WHAT YOU’LL DO

Team Overview:

Join our dynamic team dedicated to revolutionizing data analytics for impactful decision-making. The team collaboratively shapes data strategies, optimizing analytics practices to drive business growth.

Responsibilities:

• Lead the design, implementation, and monitoring of large-scale data warehouses.
• Excel in SQL with proficiency in window functions, STRUCT/ARRAY manipulation, and query optimization.
• Dive deep into product understanding, team roadmaps, technical architecture, and data flow.
• Mentor data-savvy stakeholders on data best practices.
• Expertly design data models (Snowflake, Star, Data Vault 2.0) for clean data structures.
• Track downstream usage and feedback for continuous improvement.
• Adhere to and promote performance best practices based on specific database engine requirements.
• Embrace a passion for data cataloging, metadata management, and adherence to data governance principles.
• Design systems with a test-driven approach for trapping bad-quality data and highlighting alerts.
• Utilize tools like dbt for building efficient data transformation pipelines.
• Partner effectively with engineering, data analysts, data scientists, and business stakeholders.

WHO YOU ARE

The ideal candidate for this role possesses:

• 4+ years of hands-on experience in Snowflake and other cloud data warehouses.
• Proven expertise in SQL, data modeling, and data governance principles using dbt.
• A track record of leading impactful data projects.
• Effective collaboration skills with cross-functional teams.
• In-depth understanding of technical architecture and data flow.
• Ability to mentor and guide stakeholders on data best practices.
• Proficiency in schema design (Snowflake, Star, Data Vault 2.0) and large-scale data warehouse implementation.
• Passion for clean data structures and continuous improvement.
• Strong analytical and problem-solving skills.
• Enthusiasm for SQL frameworks like dbt.
• Expertise in owning and managing dbt projects.
• Dedication to applying data governance principles at scale.

#LI-REMOTE