Data Engineer Remote - Atlanta, Philadelphia, Nashville

About the role

We are looking for a skilled and motivated Data Engineer to help design, build, manage, and operate the infrastructure behind our healthcare data platform. You will spend as much time building reliable, scalable infrastructure as you will working with the data that flows through it. You’ll work with diverse healthcare datasets (EHR, BCDA, CCLF, CRM) and contribute to a platform that will support our analytics product, as well as future GenAI use cases.

You will be responsible for building pipelines, maintaining operations, enabling new platform features to help accelerate our Data Science team, and contributing to architectural design decisions. Data will be integrated into systems such as Snowflake, Postgres, or Databricks for downstream analytics, requiring high availability, discoverability, quality, and throughput, as well as long‑term extensibility.

Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA;
Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations.

Reports to: Manager, Data Engineering

• Design, implement, and maintain data models, pipelines, and architecture to support current and future product needs – focusing on healthcare datasets such as claims, EHR, BCDA, and CCLF.
• Design processes to consolidate data from multiple sources into a single source of truth.
• Contribute to data governance policies, standards, and procedures to ensure data quality, security, HIPAA and other regulatory compliance.
• Identify and optimize performance bottlenecks in ETL/ELT pipelines – ensuring the long‑term scalability of pipelines.
• Work closely with Data Scientists, Engineers, and business stakeholders to understand requirements and translate them into high‑value, technical solutions.

• 2+ years of engineering experience
• Core Competencies
  :
  • Python
  • SQL
  • Apache Spark and Py Spark
• Data Modeling & Warehousing Concepts
  • OLAP vs OLTP
  • Normalized vs Denormalized data, one big table
  • SCDs
  • Medallion Architecture
• Tools & Technology
  • Experience working with dbt or SQLMesh
  • Experience with at least one major data platform and warehousing tool such as Databricks or Snowflake
• Security & Compliance
  • Awareness of Data Governance and Security concepts;
    • Discoverability Role Based Access Control
    • Tokenization
  • Prior experience working with PHI/PII and experience working in audited environments
• HIPAA, SOC2, and HITRUST compliance requirements and implementation
• Healthcare interoperability standards (FHIR, HL7)
• EHR operational data and claims data processing experience

Note
:
Healthcare experience not required if applicant has sufficient experience in other, highly regulated environments, and demonstrates an advanced understanding of data security and governance.

Trella Health provides unmatched, actionable market intelligence to post‑acute care and value‑based care providers of all sizes. Our industry‑leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post‑acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market.

Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty.

Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at‑a‑glance view of Trella:

• Over 1,000 customers including 10 of the top 10 post‑acute providers and 4 of the top 10 health systems
• Over 150 team members and growing
• Recognized as one of Modern Healthcare’s "Best Places to Work" in consecutive years and were ranked in the Top 50 startups in the US by Linked In
• Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America.