Live opening · Posted 12 days ago
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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.
Work arrangement
No
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