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Trulogik

Data Engineer / Data & AI Engineer

Trulogik Baltimore County, Maryland, United States

Technology, Information and Internet · 51-200 employees

7 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 data sets 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 Schema Design

Requirements

Requires 3+ years of experience in data engineering with strong proficiency in Python, SQL, and cloud data platforms. Experience with healthcare payer data such as claims, provider, and member information 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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