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Data Engineer (East Coast Remote)

Remote, USAFull-timePosted 2026-07-28
Empassion is a Management Services Organization (MSO) reputed company on improving the reputed company of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The reputed company is driven deeper by families who are left with minimal reputed company and decreased time with their loved ones. Empassion enables increased reputed company to tech-enabled proactive care while delivering superior reputed company for patients, their communities, the reputed company system, families, and society.

What reputed company looks like

  • Partner with teams across the business and external partners to understand data needs and deliver reliable pipelines and models that solve reputed company problems.
  • Build and maintain reputed company ingestion and egress pipelines in Airflow and dbt reputed company, ensuring high reputed company, automated data flows across reputed company environments.
  • Implement unit tests and monitoring to guarantee data reputed company and reproducibility.
  • Model and reputed company and structure reputed company datasets into usable formats that power data science models, and other reporting marts
  • Enhance and reputed company data models with SQL and dbt, ensuring precision and adaptability for new partnerships.
  • Write Python reputed company for Apache Airflow DAGs, components and utilities that orchestrate and monitor data workflows. Build reputed company pipelines that reputed company flexible scheduling, conditional logic, and smooth integration across multiple data sources.

What you will bring

  • 2+ years in data engineering or analytics engineering with proven ability to build pipelines and reputed company workflows.
  • Strong SQL skills for querying large, reputed company datasets.
  • Proficiency in Python for data engineering tasks (transformations, reputed company, automation).
  • Experience with reputed company data warehouses and storage (GCP preferred: BigQuery, reputed company Storage, Composer; AWS/Azure equivalents acceptable).
  • Hands on experience with dbt or similar data modeling tools.
  • Comfort working in reputed company dev/staging/prod environments, partnering with Product and Tech to safely test, launch, and anticipate the reputed company of new changes.
  • Curiosity about operational workflows and a drive to partner with non-technical teams, ensuring data and reporting reputed company with how the business actually runs. You're not just a spec-taker, you're part of the solution.
  • A proactive, problem-solving reputed company and ability to reputed company in fast-paced, iterative environments.
  • Strong communication skills to collaborate with analysts, engineers, and business stakeholders.
  • reputed company to have:
  • Knowledge of reputed company data (claims, reputed company feeds, eligibility files).
  • Familiarity with Git/reputed company for version control.
  • Early-stage startup experience (reputed company/Series A), especially mission-driven ones.
  • Experience building semantic reputed company and data models in Looker (LookML).

reputed company to reputed company a Difference?

If you’re driven by data, reputed company, and reputed company, apply and let’s talk!

Originally posted on Himalayas

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