Data Engineer / Data & AI Engineer

Catonsville, United States

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

The ideal candidate combines strongdata engineering, ETL/ELT, and data modelingskills with some exposure toAI/ML and modern data platforms. Experience inhealth insurance or healthcare payer datais strongly preferred.

Responsibilities

• Design and build scalabledata pipelines, ETL/ELT workflows, and data integration frameworks.
• Develop and maintain analytical and operationaldata modelsfor 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 indata engineering, ETL/ELT, or data platform development.
• Strong hands-on experience withPython, SQL, data pipelines, APIs, and relational/data warehouse technologies.
• Experience with cloud data platforms and tools such asAzure, AWS, Databricks, Snowflake, Redshift, Spark, or similar.
• Strong understanding ofdata modeling, schema design, transformation, and data quality.
• Exposure toAI/ML, LLMs, feature engineering, or ML pipelinesis preferred.
• Experience withhealth 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 ofdata engineering, healthcare data, and applied AI.