Associate Data Engineer
UnitedHealth Group•Eden Prairie, MN
•$60,200 - $107,400•Remote
About The Position
Optum is seeking an Associate Data Engineer to design, build, and manage data foundations that support enterprise finance analytics, automation, and AI solutions. The role partners with finance stakeholders, AI engineers, and governance teams to deliver trusted, scalable, and secure data products that drive business value. The position may be performed remotely from anywhere within the United States, subject to UnitedHealth Group’s Telecommuter Policy.
Requirements
- At least 1 year of experience in data engineering, data platforms, or related technical roles.
- At least 1 year of experience with SQL, APIs, ETL/ELT development, data integration, and batch/streaming architectures.
- At least 1 year of experience with cloud-based data platforms and large-scale data pipelines.
- At least 1 year of experience in enterprise data security, privacy, access controls, and compliance requirements.
- Strong problem-solving, communication, and stakeholder management skills.
- Ability to move quickly while maintaining trust, governance, quality, and repeatability.
Nice To Haves
- Strong understanding of data modeling, data quality, metadata management, lineage, and governance practices.
- Familiarity with AI data patterns, including embeddings, vector databases, document chunking, semantic retrieval, and feature preparation.
- Experience supporting finance domains such as FP&A, accounting, tax, treasury, or financial reporting.
- Experience enabling AI, machine learning, or generative AI solutions in an enterprise environment.
- Familiarity with modern data governance, observability, and cataloging tools.
Responsibilities
- Identify and evaluate data sources, systems of record, reference data, documents, and operational data required to support finance solutions.
- Assess data quality, completeness, lineage, sensitivity, and accessibility.
- Design and build data pipelines, transformations, semantic layers, retrieval indexes, and reusable data products.
- Partner with AI Engineers on RAG architectures, embeddings, vector databases, grounding strategies, and data refresh processes.
- Collaborate with security, privacy, compliance, and data governance teams to ensure appropriate data handling and controls.
- Develop synthetic, masked, or de-identified datasets for development and testing.
- Implement data quality monitoring, validation controls, lineage documentation, and exception-handling processes.
- Support experimentation, control-group testing, and value measurement through reliable baseline and treatment datasets.
- Prepare data assets, documentation, and operational processes for long-term ownership and support.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase.
- 401(k) contribution, subject to eligibility requirements.
- Career development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
