Note: The job is a remote job and is open to candidates in USA. Optum is hiring an Associate Data Engineer to build and manage data foundations for 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.
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 purposes
- 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
Skills
- 1+ years of experience in data engineering, data platforms, or related technical roles
- 1+ years of experience in SQL, APIs, ETL/ELT development, data integration, and batch/streaming architectures
- 1+ years of experience with cloud-based data platforms and large-scale data pipelines
- 1+years 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
- 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
Benefits
- You will enjoy the flexibility to telecommute from anywhere within the U.S.
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview
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