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 Incumbent carriers utilize outdated risk selection, underwriting, and sales processes.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.

 About Us

Simon Data was founded in 2015 by a team of successful serial entrepreneurs with a passion for transforming data to drive real-world results. We are building a best-in-class enterprise Customer Data Platform that empowers marketers to create personalized data-driven experiences for the customers. We’re scrappy problem solvers who believe in tackling big challenges with disruptive thinking and giving our customers the support they need to deliver great next-generation experiences at scale.

At Simon, we firmly believe that business success starts and ends with people. We all do our best work when we are surrounded by other friendly top performers who want to succeed together. This attitude is core to our values. When you trust your team, invest in their development, and give them ownership, great things happen.

The Role

Simon Data is currently looking for a skilled Software Engineer to join our dynamic Technical Support team. If you possess a creative mindset, thrive on tackling complex challenges, and are eager to experiment with new technologies to solve problems, then we encourage you to read on. As a member of the Technical Support Software Engineering team, you will have the opportunity to work on exciting engineering projects that significantly impact the growth of a startup. Your primary responsibilities will involve resolving system bugs and working on projects to stabilize the platform.  At Simon, you will be exposed to a modern technology stack and have the chance to work on a diverse range of projects that will enhance your engineering skills and accelerate your professional development.

What You’ll Do

• Conduct analysis and organization of unprocessed data.
• Assess business goals and objectives.
• Fix bugs in the platform
• Establish a testing environment for efficient code testing and verification.
• Work on a new deployment and feature dashboard to improve user experience.
• Explore methods to improve data accuracy and consistency.
• Work on ways to improve the stability of the product.
• Write unit tests to validate the stability of the platform.
• Submit Canvases for product improvements.
• Work closely with senior TSE members and the engineering team to design and implement innovative solutions for delivering high-quality, defect-free products to customers.

Qualifications

We are seeking individuals who are launching their careers in engineering and seeking a long-term commitment as full-stack engineers within our company. While technical expertise can be developed through on-the-job training, we prefer applicants who possess the following:

• Proficiency in Python
• Moderate understanding of SQL
• Keen attention to detail and ability to work independently
• Self-motivated and proactive
• Excellent analytical skills and a passion for all things related to data.
• Experience with Django
• Experience with AWS
• Must be proficient in English

Diversity

We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

The Signals Intelligence (SIGINT) team collects signals and data on a massive scale translating them into actionable intelligence that helps drive SecurityScorecard’s flagship security ratings and Attack Surface Intelligence products. This team develops scalable distributed systems to collect data at scale from the Internet, dark web, clear web, telegram/discord and other content. This team partners with the Threat Research & Insights team and other parts of the organization to understand the requirements that define what goes into new signals. Come be part of an exciting team that is building the next generation of threat intelligence.

About the Role:

This contractor role focuses on the design and development of systems dedicated to distributed data collection and Internet scanning. Responsibilities include overseeing the management of collected data feeds, which are integrated into SecurityScorecard's processing pipeline and scoring mechanisms to enhance the Ratings Platform. A central responsibility of this role is enhancing and expanding the capabilities of web crawling and data collection systems. This includes scaling these systems to handle higher frequencies of web scans and integrating extensive datasets from millions of companies into the Ratings Platform. Moreover, the position is focused on pioneering and refining techniques for efficiently operationalizing the gathering of comprehensive web-based and Internet-wide data and threat intelligence.  This is a remote role located in Canada, LATAM or US only.

Please note that this is a 9-12 month contract position.  

Required Qualifications:

• 2+ years experience with low-level languages (e.g. Go, C, C++)
• 3+ years of experience with Scripting languages (e.g. Python, Ruby)
• Experience with SQL (e.g. Postgres)
• Knowledge of Selenium, Scrapy or other web crawling mechanisms 
• Experience with Confluent Kafka, Apache Kafka
• Experience withmessage queues (e.g. RabbitMQ, SQS)
• 3+ years of experience with building distributed systems
• Experience building Restful API's from scratch.
• Working knowledge in one or more of the following: Networking protocols, Network based scanning (nmap, zmap, nessus, masscan, etc), web crawling

Preferred Qualifications:

• Experience with software design principles, and test-driven development
• Strong experience with Apache Kafka
• Comfortable working as part of a distributed team
• Excellent communication and teamwork skills
• Experience with Internet scanning (NMAP, masscan, ZMAP, etc)
• Experience building web-crawlers and or data crawlers at-scale
• Ability to do independent research
• Ability to make data driven decisions

Benefits:

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position. 

Job Summary:

We are seeking a highly skilled Director of Data & Analytics to shape our company's data-driven decision-making. In this influential role, you will lead the build-out of our data product suite, manage robust data pipelines, and create scalable data models to drive actionable insights across the organization. The ideal candidate will have proven experience building and managing teams who transform raw data into strategic assets that empower commercial, product, and wider business leadership. 

About You: 

You are a results-driven Director of Data & Analytics with demonstrated success in building and scaling data-centric organizations. Your experience includes architecting robust data pipelines, driving actionable insights, and mentoring exceptional teams. You excel in aligning data initiatives with overarching business goals, ensuring that data translates into tangible impact.

Key Outcomes:

1. Solidify data model for our three major product lines, Roadside, Accident Management, and Repair Advantage.
2. Deliver major enhancements to our Executive Reporting, Product Line Performance, and Ecosystem Fraud Identification data products.
3. Optimize team structure and processes for performance and output.
4. Develop and drive our comprehensive data strategy, aligning it with overarching business objectives.

Responsibilities:

• Team Leadership: Manage and mentor a high-performing team of data analysts, data scientists, and data engineers. Foster a culture of collaboration and continuous development.
• Data Pipeline and Architecture: Manage and optimize an end-to-end data pipeline, ensuring data integrity, quality, and accessibility for the entire organization.
• Data Modeling: Construct and maintain flexible data models to support diverse business needs, encompassing both structured and unstructured data.
• Commercial & Product Analytics: Lead the development of analytics and data science solutions to enhance decision-making in areas such as sales, marketing, customer behavior, ecosystem fraud, and product optimization.
• Strategic Insights: Partner with senior leadership to translate complex data into clear narratives, driving business strategy, and identifying growth opportunities.
• Data Governance: Collaborate with stakeholders to establish and implement robust data governance policies and procedures for security, privacy, and compliance.
• Cross-Functional Collaboration: Work closely with product, engineering, sales, marketing, and other teams to identify and prioritize data-driven initiatives.

Qualifications:

• Technical Expertise: Deep knowledge of SQL, Python (or similar data science languages), and data modeling techniques. Experience with cloud-based data platforms is a plus.
• Leadership: Proven experience building and leading data teams, attracting and developing top talent.
• Business Acumen: Ability to align data strategy with business objectives, clearly articulating the value of data-driven solutions.
• Communication: Exceptional communication and presentation skills, capable of tailoring complex information for diverse audiences.
• Bachelor's Degree: In Computer Science, Statistics, Mathematics, or a related field. Master's degree preferred.
• Experience: 8+ years of experience in data analytics and data science, including 3+ years in a managerial role demonstrating a hands-on approach.

Hiring In:

• United States: AZ, FL, IL, KY, MA, MI, NC, NM, TN, GA, NH and VA

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