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Trulogik

Data Engineer / Data & AI Engineer

Trulogik Baltimore County, Maryland, United States

Technology, Information and Internet · 51-200 employees

8 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Design and build scalable data pipelines, ETL/ELT workflows, and data integration frameworks for healthcare operations. Collaborate with AI and product teams to prepare datasets and operationalize data-driven solutions.

What they look for

Python SQL Data Engineering ETL/ELT Data Modeling Cloud Platforms Azure AWS Databricks Snowflake Redshift Spark Data Pipelines Healthcare Data AI/ML LLMs

Requirements

Requires 3+ years of experience in data engineering with strong proficiency in Python, SQL, and cloud data platforms. Experience with healthcare payer data and exposure to AI/ML pipelines is highly preferred.

Full description

Data Engineer / Data & AI Engineer – Health Insurance

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.

Responsibilities

  • 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.

Requirements

Qualifications

  • 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.

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