Data Engineer / Data & AI Engineer

Catonsville, United States | Posted on 11/15/2026

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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