Principal Data Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $131k - $200k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Devoted Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare • Healthcare Insurance • Wellness

Devoted Health is a healthcare company that offers Medicare Advantage plans designed to provide comprehensive health coverage with added benefits like dental, eyewear, gym memberships, and prescription drugs at competitive rates. The company emphasizes member support and service, ensuring that clients can easily navigate their benefits and access needed healthcare services. Devoted Health is committed to helping customers save money and enhance their health and wellness through a complete package of benefits and support.

📋 Description

• 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

• 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

• 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