Principal Data Engineer

Devoted Health

. Design, develop and maintain a robust, scalable data platform that serves analytics, machine learning, and AI workloads .

Posted 10/27/2026full-timeRemote • United StatesLead💰 $131,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data platforms for analytics and AI workloads, with a strong focus on data quality, reliability, and best practices in data modeling and pipelines. Proficient in collaborating across teams to develop and deploy data-driven solutions using modern tools and technologies.

Highest-signal resume keywords

Data Platform DevelopmentCloud Data WarehousingWorkflow OrchestrationLLM Application SupportData Modeling Principles

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Platform DevelopmentData ModelingMachine LearningPython ProgrammingGo ProgrammingLLM Systems EvaluationData Pipeline DevelopmentSemantic Layer DesignQuality Assurance PracticesData Availability Management

Soft Skills

CollaborationSelf-DirectionAdaptabilityProblem-SolvingPragmatism

Tools & Technologies

SnowflakeApache AirflowDbtKubernetesTerraformBigQueryRedshiftClaude CodeCodexCursor

Industry Keywords

AI WorkloadsData QualityData ReliabilityFast-Paced Startup EnvironmentSemantic Layer

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudKubernetesPythonSnowflakeSQLTerraformGo

About the role

Key responsibilities & impact

Design, develop and maintain a robust, scalable data platform that serves analytics, machine learning, and AI workloads
Build and evolve the infrastructure behind the Semantic Layer and Data Agent, including how LLMs discover, understand, and safely query data
Establish evaluation, observability, and quality practices for AI systems that depend on the data platform
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 or improved solutions and lead them from design to implementation
Develop best practices for data modelling, pipelines, and testing
Write tools enabling Data Scientists and Engineers to build and deploy scalable, reliable data pipelines, machine learning models, and LLM-powered tools
Work with Snowflake, Apache Airflow, dbt, Kubernetes, Terraform, and AI lab technologies
Use Go to develop most tools
Share knowledge, eliminate silos, and collaborate across teams

Requirements

What you’ll need

Ability to work in a fast-paced startup environment
5+ years working as an individual technical contributor
5+ years' experience with data platforms
Experience 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.)
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
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
Desire to work in a collaborative environment and improve as a team
Desire to contribute individually with the ability to self-direct work

Benefits

Comp & perks

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
Parental leave program
401K program
Total rewards package for full time employees