Data Engineer

🕒 April 24

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Empassion Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

Healthcare Insurance

Empassion Health is a company that specializes in providing supportive care to patients and families living with serious illnesses. Their mission is to improve outcomes and experiences for these individuals by alleviating symptom burdens and reducing stress. The company collaborates with existing care teams to offer an additional layer of care, delivered by specially trained providers directly in the patients' homes, and is available 24/7. Empassion focuses on elevating patient and caregiver experiences by ensuring care is compassionate, comprehensive, and culturally sensitive. With a network covering 45 states by 2024, Empassion continues to expand its reach, ensuring accessible quality care across the United States.

📋 Description

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

🎯 Requirements

• 2+ years in data engineering or analytics engineering with proven ability to build pipelines and scalable workflows. • Strong SQL skills for querying large, complex datasets. • Proficiency in Python for data engineering tasks (transformations, APIs, automation). • Experience with cloud data warehouses and storage (GCP preferred: BigQuery, Cloud Storage, Composer; AWS/Azure equivalents acceptable). • Hands on experience with dbt or similar data modeling tools. • Comfort working in collaborative dev/staging/prod environments, partnering with Product and Tech to safely test, launch, and anticipate the impact of new changes. • Curiosity about operational workflows and a drive to partner with non-technical teams, ensuring data and reporting align with how the business actually runs. You're not just a spec-taker, you're part of the solution. • A proactive, problem-solving mindset and ability to thrive in fast-paced, iterative environments. • Strong communication skills to collaborate with analysts, engineers, and business stakeholders.

🏖️ Benefits

• comprehensive medical, dental, and vision coverage • 401(k) retirement plan