Principal Data Engineer

Job Description

A bit about this role:

In our mission to take care of every member like they were our own family,, we believe that data is a super power to deliver great service and clinical care. Our Data Platform team designs and builds the infrastructure to support this capability.

In this role, you will write tools to make it easier for our Data Scientists and Engineers to build and deploy scalable, reliable data pipelines, machine learning models, and LLM powered tools. You will help develop and improve a Data Platform built with tools like Snowflake, Apache Airflow, dbt, Kubernetes, Terraform, and all the leading AI labs. You will work on a wide range of impactful projects. Examples of our work include a Change-Data-Capture solution to stream data to Snowflake, a custom Snowflake SQL formatter, an internal Semantic Layer and Data Agent that lets users ask questions about our data in plain language and develop dashboards and analyses. We write most of our tools in Go.

You will be joining a team that values using the right tool for the job with an emphasis on performance, reliability, and maintainability. We also believe in continuously evaluating decisions and striving for improvement as a team. Additionally, we value sharing knowledge, eliminating silos, and collaboration. We use AI coding agents as part of our everyday workflow and are always looking for ways to work smarter.

Responsibilities will include:

• Design, develop and maintain a robust, scalable data platform that serves analytics, machine learning, and AI workloads
• Build and evolve the infrastructure behind our Semantic Layer and Data Agent, including how LLMs discover, understand, and safely query our data
• Establish evaluation, observability, and quality practices for AI systems that depend on the data platform, so we can measure accuracy and catch regressions
• Collaborate with Data Science and Product Engineering on tooling to develop and deploy reliable data and AI products
• Ensure data availability, quality, and reliability in the data platform
• Identify areas for improvement with the platform
• Propose new/improved solutions and lead them from design to implementation
• Develop best practices for data modelling, pipelines, and testing

Attributes to success:

• Experience coupled with a willingness to learn new things, especially in a fast-moving AI landscape
• Comfort with ambiguity and a desire to be close to business problems
• Pragmatism about AI. Excitement for what it can do, paired with clear thinking about where it isn’t the right tool
• Desire to work in a collaborative environment and improve as a team
• Desire to contribute individually with the ability to self-direct work

Required skills and experience:

• Ability to work in a fast-paced startup environment
• 5+ years working as an individual technical contributor
• 5+ years' experience with data platforms
• Experience working with Cloud Data Warehouses (Snowflake, BigQuery, Redshift, etc.)
• Experience developing in Python or Go
• Experience with a Workflow Orchestrator (Airflow, Luigi, Dagster, Prefect, etc.)
• A strong understanding of data warehousing and data modelling principles
• Experience with semantic or metrics layers (dbt Semantic Layer, Cube, LookML, etc.)

Desired skills and experience:

• Regular use of coding agents (Claude Code, Codex, Cursor, etc.) in your development workflow
• Hands-on experience building or supporting applications that use LLMs (via Anthropic, OpenAI, or similar APIs)
• Experience designing evaluations for LLM systems, such as text-to-SQL accuracy
  
  Salary range: $131,000-200,000 plus cash bonus and equity

The pay range listed for this position is the range the organization reasonably and in good faith expects to pay for this position at the time of the posting. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Total Rewards package includes:

• Employer sponsored health, dental and vision plan with low or no premium

• Generous paid time off

• $100 monthly mobile or internet stipend

• Stock options for all employees

• Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles

• Parental leave program

• 401K program

• And more....

*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.

Founded in 2017, Devoted Health is on a mission to dramatically improve the health and well-being of older Americans by caring for everyone like they are family, and that includes our employees. Our robust and seamlessly integrated care platform merges advanced data and AI access with world-class clinical and service experiences to create a member experience that is unlike the industry norm. To continue building upon our mission, we want to bring together those who share our values, embrace change and advancement, and are enthusiastic about where we're going — all the while bringing their own unique qualities, experiences, and expertise, in hopes of further changing the healthcare experience.

Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

Originally posted on Himalayas