What We Do

As a data organization, we focus on making data a competitive advantage for Calm. We’re product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.

What You’ll Do

We’re looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Data Engineer, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Redshift, BigQuery, Postgres, Spark, and dbt. Specifically, you will: 

• Work with business stakeholders to understand their goals, challenges, and decisions
• Assist with building solutions that standardize our data approach to common problems across the company
• Incorporate observability and testing best practices into projects
• Assist in the development of processes to ensure our data is trusted and well-documented
• Effectively work with data analysts on refining the data model used for reporting and analytical purposes
• Improve availability and consistency of data points crucial for analysis

Some past projects include:

• Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints
• Creating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creation
• Remodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%
• Setting up scalable APIs to integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customers
• Revamping orchestration and execution to reduce critical data delivery times by 70%

Who You Are

• Proficiency with SQL and an object-oriented language
• Experience with RDBMS, data warehouses, and event systems
• Experience in building data pipelines that scale
• Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
• Strong communication skills
• Pragmatism: balancing scrappiness and rigor

Nice to Haves

• Python programing experience
• Experience with data lakes
• Experience building across clouds
• Some experience in Infrastructure as Code tools like Terraform
• Knowledge of different data modeling paradigms, e.g. relational, data vault, and medallion

Minimum Requirements

• This role typically requires 5+ years of related experience

The anticipated salary range for this position is $159,300- $223,000. The base salary range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, experience and other qualifications. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. 

What We Do

As a data organization, we focus on making data a competitive advantage for Calm. We’re product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.

What You’ll Do

We’re looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Senior Data Engineer, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Redshift, BigQuery, Postgres, Spark, and dbt. Specifically, you will: 

• Work with business stakeholders to understand their goals, challenges, and decisions
• Identify opportunities and build solutions that standardize our data approach to common problems across the company
• Evangelize the use of data-driven decision making across the organization
• Build processes to ensure our data is trusted and well-documented
• Partner with data analysts on refining the data model used for reporting and analytical purposes
• Collaborate with engineering on improving availability and consistency of data points crucial for analysis and represent data team in architectural discussions
• Develop, mentor and train data engineers

Some past projects include:

• Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints
• Creating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creation
• Remodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%
• Setting up scalable APIs to integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customers
• Revamping orchestration and execution to reduce critical data delivery times by 70%

Who You Are

• Proficiency with SQL and an object-oriented language
• Experience with RDBMS, data warehouses, and event systems
• Experience in building data pipelines that scale
• Knowledge of different data modeling paradigms, e.g. relational, data vault, and medallion
• Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
• Strong communication skills
• Pragmatism: balancing scrappiness and rigor

Nice to Haves

• Python programing experience
• Experience with data lakes
• Experience building across clouds
• Some experience in Infrastructure as Code tools like Terraform

Minimum Requirements

• This role typically requires 8+ years of related experience

The anticipated salary range for this position is $185,500- $259,700. The base salary range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, experience and other qualifications. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. 

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

As a Data Engineer, you will:

• Contribute to the development of distributed batch and real-time data infrastructure.
• Mentor and work closely with junior engineers on the team. 
• Perform code reviews with peers. 
• Lead small to medium sized projects, documenting and ticket writing the projects. 
• Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

• Minimum 3+ years of backend engineering experience with a passionate interest for big data.
• Expertise with Python or Java and SQL. 
• Familiarity with Kafka
• Experience with a range of datastores, from relational to key-value to document
• Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

• Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
• Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
• Familiarity with Snowflake
• Familiarity with Elasticsearch
• Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
• Experience with Docker, Kubernetes, and application monitoring tools
• Experience and/or training with agile methodologies
• Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Private Medical, Vision and Dental Coverage for you and your family
• Unlimited Paid Time Off
• Stock Options Purchase Program
• Quarterly and Annual Team Events
• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Free and discounted perks through JWP's benefit partners
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Meet the Team:

This team is looking for someone with the combined technical and management experience to create the next generation of on-road autonomous driving technology, meeting customer needs as effectively and efficiently as possible. Works closely with cross-functional teams to define actionable work plans to achieve product milestones, integrate plans with organizational leaders, obtain feedback from stakeholders, and maintain a backlog of work that reflects end-user requirements and company objectives. Owns the product development plan across relevant engineering teams, represents the plan to executive management, and serves as a subject matter expert.

What you'll do:

• Accountable for ensuring consistent delivery of critical projects that meet the company's objectives, coordinating efforts and resources, identifying, and removing organizational barriers to execution as the internal representative of the customer to the engineering organization.
• Responsible for analyzing and communicating product initiatives to development teams, leadership, and other stakeholders. Break down the product initiatives into department-level quarterly plans.
• Analyze top-level product requirements to develop associated department-level plans for components that advance the virtual driver product towards commercial launch.
• Create strong working relationships and maintain effective communication across all product development teams, informing others of new features and release timelines, and soliciting frequent feedback from stakeholders for action.
• Build trust and strong working relationships with the technical subject matter experts and principal engineers that steward the technical roadmap.
• Consult with relevant technical experts and synthesize their input with your own technical and industry knowledge to create and define a balanced product development backlog which drives teams towards the most cost-effective path to commercial launch.
• Cohesively and succinctly present quarterly departmental plans based on cross-functional dependencies for evaluation and approval by engineering leadership at the executive level.
  
• Represent product development plans, showcase recent development efforts in regular reviews, and synthesize changes in urgency to resolve product issues within the applicable department.
  
• Partner with engineering leadership to define timelines/milestones, identify/mitigate risks, recommend resource allocation, track progress, resolve dependencies, and resolve bottlenecks.
  
• Set clear, actionable development team workloads that deliver epic acceptance criteria that cleanly support initiative-level acceptance criteria, delegate tasks and set deadlines.
  
• Monitor epic status and report metrics for management recognition. Clarify metrics and measurable goals to identify work, clarify urgency and importance, follow-up and verify solutions/results, measure success, review for continuous improvement and effective time management.
  
• Provide candid and constructive feedback to development team members that maximizes team goals and individual employee potential. Report any issues of concern to managers.
  
• Create a motivating and inspiring development team environment with an open communication culture. Act proactively to ensure smooth development team operations and effective collaboration.
  
• Drive a culture of continuous improvement. Identify process gaps and/or new areas of focus for continuously improving engineering planning, communication, and execution.

What you’ll need to Succeed:

• Demonstrates competences and technical proficiencies typically acquired through:
  • BS+ 4+ years of experience OR MS+ 3+ years of experience
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• We are looking for a TPM with the experience in one of the following fields: 
  • Data Systems
    • Experience with different database architectures, including but not limited to relational and NoSQL databases, data warehousing and clustered, distributed data stores.
    • Experience with Python libraries for applied data science (Pandas, Plotly, Matplotlib, Dask, TensorFlow).
    • Experience with AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena).
    • Experience with workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions).
    • Familiarity with machine learning operations and the data and artifacts that they produce.

Bonus Points!

• Experience with different mapping formats, strategies, and developing pipelines to deploy maps to different environments.

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance 

Who Are You

We are seeking a highly skilled and experienced ML Platform Architect to join our dynamic and growing data platform team. As an ML Platform Architect, you will play a crucial role in strengthening and expanding the core of our data products. We want you to help us scale our business, to data-driven decisions, and to contribute to our overall data strategy. You will work alongside talented data platform engineers to envision how all the data elements from multiple sources should fit together and then execute that plan. The ideal candidate must: 

• Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Have a profound comprehension of data quality, governance, and analytics.
• Have the ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to driving positive business outcomes through expert data handling and analysis.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.

What You'll Do

• Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our data processing capabilities, which will support the evolution of our real-time data processing and analysis capabilities.
• Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
• Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments.
• Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue).
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has over 10 years of experience in data engineering, including at least 5 years of experience as a data or machine learning architect or lead. Have successfully navigated the challenges of working with large-scale data processing systems.
• Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
• Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Experience with the latest technologies and trends in Data, ML, and Cloud platforms.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
• Commitment to quality, you take pride in delivering work that excels in data accuracy, performance and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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.

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Our Sales Engineering organization is seeking an Architect, Machine Learning Enterprise Field CTO focused on Machine Learning to join our Enterprise Field CTO team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.

As an Architect focused on Machine Learning you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform 
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Provide architectural guidance & hands-on support for strategic enterprise pilots / proof-of-concepts around Snowflake’s AI & ML capabilities. . 
• Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 3+ years of experience building and deploying machine learning solutions in the cloud 
• Deep technical hands on expertise within Data Science tools and ecosystem 
• 2+ years of working with cloud native ML tools 
• Strong presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Working knowledge with data engineering technologies and tools(dbt, Airflow, etc)
• Deep level knowledge of Data Science and ML fundamentals
• Working knowledge of deep learning concepts, techniques, and tools(Pytorch, Tensorflow, etc). 
• 2+ years experience building and deploying ML/data engineering applications and solutions on Spark
• Advanced knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Introductory familiarity with LLM developer tools like langchain, llamaindex. 
• Working knowledge of SQL, R, Scala and / or other scripting languages
• Industry Focus a plus  (Education, Federal, Financial Services, Healthcare & Lifesciences, Insurance, Adv. Media, Retail CPG, Technology and Telecom)
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

About the job:

We're looking for an energetic and experienced Senior Technical Program Managerto join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage. 

As a senior TPM within the Data Platform team, you’ll work closely with our Product and Engineering teams to understand their roadmaps, architecture, and data. You’ll also work with our consumers of the data platform to better understand their data needs. You’ll take your passion for working with people and leveraging your technical skills to move quickly, efficiently, and decisively to connect the dots and help our team deliver.

You Will:

• Build strong cross-functional relationships to understand our product data and the needs/uses of data
• Create requirements and technical specifications
• Track and manage project risks, dependencies, status, and deliverable timelines
• Help drive Data Platform strategies
• Work with stakeholders to understand requirements and negotiate solutions and timelines
• Communicate and make sure the right people have the correct information in time
• Work within our Data Platform Engineering team to help build out ticketed work and provide details to translate requirements and benefits to that work
• Ensure the highest business value is being delivered to our stakeholders
• Establish mechanisms to optimize team effectiveness
• Lead prioritization meetings and status meetings with stakeholders at a regular cadence
• Collaborate with other technical program managers to highlight dependencies with different domains
• You will have a bias for action, a sense of urgency, and attention to detail that makes you someone your team can instinctively trust and rally behind
• Drive continuous process improvements and best practices to create a robust, predictable, priority-driven culture
• Collaborate with legal to ensure data privacy and compliance are followed and implemented
• Organize and facilitate daily stand-up, sprint planning, sprint retrospectives, and backlog grooming sessions

You Have:

• Minimum of 8+ years experience as a data-oriented Technical Program Manager, Technical Product Manager, or Lead capacity
• Bachelor's degree in Computer Science, Engineering, or related field, or relevant years of work experience
• Experience working with Data Platform Engineering teams to ship scalable data products and technical roadmaps
• Previous experience building data platforms on the cloud using Databricks or Snowflake
• Proficiency in Jira or other project management tools
• Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran
• Ability to understand different data domains and technical requirements
• Experience collaborating with different stakeholders such as Analytics, ML, Finance, Product, Marketing, Operations, and Customer Experience teams
• Solid understanding of data pipelines
• Knowledge of SQL to independently investigate and test datasets, perform data validation, sketch solutions, and create basic proofs of concept
• Experience working with management to define and measure KPIs and other operating metrics
• Extensive experience working on Data Security and Data Governance initiatives
• A Foundational understanding of Amazon Web Services (AWS) or Google Cloud Platform (GCP)
• Understanding of SDLC and Agile frameworks
• Strong project management skills with attention to detail and experience in managing multiple projects and meeting ongoing and overlapping deadlines 
• Bias towards over-communication
• Team player, collaborative, and positive attitude
• Strong leadership and communication skills
• Excellent writing, oral, and presentation skills
• Ability to influence without authority
• Passion for operational excellence, attention to detail, and a demonstrated ability to deliver results in a fast-paced, high-growth environmen

Nice To Have:

• Experience working in healthcare 
• Previous working experience at startups
• A basic understanding of data streaming technologies (eg, Kafka, RabbitMQ), Git, Atlan, and Terraform is a big plus 
• Working experience with BI tools like Tableau and Looker

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote