Senior Data Engineer - Hybrid AI Data Pipelines

Taleo; Eden Prairie (MN); Hybrid; USD 92,000 - 164,000; Full time

Job summary

UnitedHealth Group is seeking a Data Engineer to make data usable, trusted, and secure. You will handle data discovery, pipelines, transformations, quality checks, and data-product readiness, partnering on AI data patterns and governance.

A hybrid schedule is available to tackle challenging data problems. Responsibilities include sourcing data, assessing quality and lineage, building data products, and ensuring reliable baseline data for control groups and measurements.

Qualifications

• Bachelor's degree or 5+ years of software engineering experience.
• 5+ years of experience in data engineering across pipelines, SQL, APIs, batch/streaming patterns, and cloud data platforms.
• 3+ years of experience with data modeling, data quality, lineage, metadata, and governance.
• 2+ years of experience with AI data patterns including embeddings, vector databases, document chunking, semantic retrieval, and feature preparation.
• 2+ years of experience in understanding enterprise data security, privacy, access control, and compliance.

Responsibilities

• Identify required data sources, systems of record, reference data, documents, logs, and operational data.
• Assess data availability, quality, completeness, sensitivity, lineage, and access constraints.
• Build pipelines, transformations, data products, retrieval indexes, or semantic layers needed by the solution.
• Partner with AI Engineer on RAG, embeddings, vector stores, grounding strategies, and data refresh patterns.
• Partner with security, privacy, compliance, and data governance teams to ensure proper data handling.
• Create synthetic, masked, de-identified, or test datasets where needed.
• Build data quality checks, monitoring, lineage documentation, and exception-handling patterns.
• Support control-group testing and value measurement by ensuring baseline and treatment data are reliable.
• Prepare data assets and documentation for steady-state ownership.

Skills

Data engineering

SQL

APIs

Batch/Streaming

Cloud platforms

Data modeling

Data quality

Data lineage

Metadata governance

AI data patterns

Security & privacy

Access control

Compliance

Embeddings

Vector databases

Document chunking

Semantic retrieval

Feature preparation

Education

Bachelor's degree

Software engineering experience (5+ years)

Tools

RAG

Vector stores

Job description

UnitedHealth Group is seeking a Data Engineer to make data usable, trusted, and secure. You will handle data discovery, pipelines, transformations, quality checks, and data-product readiness, partnering on AI data patterns and governance.

A hybrid schedule is available to tackle challenging data problems. Responsibilities include sourcing data, assessing quality and lineage, building data products, and ensuring reliable baseline data for control groups and measurements.