Data Engineer​/Data & AI Engineer

Catonsville, United States

We are seeking a hands-on
Data Engineer / Data & AI Engineer
to build scalable data pipelines and analytical data models that support healthcare payer operations and AI-driven products.

The ideal candidate combines strong
data engineering, ETL/ELT, and data modeling
skills with some exposure to
AI/ML and modern data platforms
. Experience in
health insurance or healthcare payer data
is strongly preferred.

• Design and build scalable
  data pipelines, ETL/ELT workflows, and data integration frameworks
  .
• Develop and maintain analytical and operational
  data models
  for claims, provider, member, pharmacy, and related healthcare data.
• Work with structured and semi-structured data across APIs, databases, files, and cloud platforms.
• Ensure data quality, lineage, performance, reliability, and observability across pipelines.
• Support AI/ML use cases by preparing data sets, feature pipelines, inference data flows, and model-ready data.
• Collaborate with AI, product, and engineering teams to operationalize data-driven solutions.
• Work with business and domain teams to translate healthcare requirements into scalable data architectures.

• 3+ years of experience in
  data engineering, ETL/ELT, or data platform development
  .
• Strong hands-on experience with
  Python, SQL, data pipelines, APIs, and relational/data warehouse technologies
  .
• Experience with cloud data platforms and tools such as
  Azure, AWS, Databricks, Snowflake, Redshift, Spark, or similar
  .
• Strong understanding of
  data modeling, schema design, transformation, and data quality
  .
• Exposure to
  AI/ML, LLMs, feature engineering, or ML pipelines
  is preferred.
• Experience with
  health insurance / healthcare payer data
  , particularly claims, provider, member, pharmacy, or eligibility data, is highly preferred.
• Strong analytical and problem-solving skills with the ability to work in a fast-moving product environment.
• This role is ideal for someone who sits at the intersection of
  data engineering, healthcare data, and applied AI
  .