Position SummaryThe Enterprise Finance Data Engineering team is seeking a Senior Data Engineer to design, build, and manage the data foundations that power enterprise finance analytics, automation, and modern AI solutions. In this role, you will partner closely with finance stakeholders, AI engineers, and governance teams to deliver trusted, scalable, and secure data products that drive measurable business value. You will play a key technical role in architecting and implementing robust data pipelines, transformations, semantic layers, and retrieval-augmented generation (RAG) data flows across modern cloud platforms to enable high-impact financial intelligence and automated workflows.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities- Design, build, and deploy data pipelines, transformations, semantic layers, retrieval indexes, and reusable data products to address complex enterprise finance challenges with an emphasis on responsible AI use
- Partner with AI Engineers on RAG architectures, embeddings, vector databases, grounding strategies, and automated data refresh processes
- Identify and evaluate data sources, systems of record, reference data, documents, and operational data required to support finance solutions while assessing data quality, completeness, lineage, sensitivity, and accessibility
- Collaborate with security, privacy, compliance, and data governance teams to ensure appropriate data handling, sensitivity controls, and regulatory compliance
- Develop synthetic, masked, or de-identified datasets for development, testing, and experimentation environments
- 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
- Evaluate emerging data and AI trends to inform solution architecture, design, and strategic innovation
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications- 5+ years of experience in data engineering, data platforms, or related technical roles
- 5+ years of hands-on experience with SQL, API integration, ETL/ELT development, and data integration across batch and streaming architectures
- 3+ years of experience designing, deploying, and maintaining data pipelines on cloud-based data platforms (e.g., Azure, AWS, GCP, or Snowflake)
- 3+ years of experience with data modeling, data quality management, metadata, and data lineage practices
- 2+ years of experience implementing enterprise data security, privacy, and access control governance
Preferred Qualifications- Bachelor's degree or 4+ years of equivalent data engineering experience
- 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 production environment
- Familiarity with modern data governance, observability, and cataloging tools (e.g., Collibra, Monte Carlo, Alation, or Great Expectations)
- 2+ years of experience supporting or implementing AI data patterns (e.g., embeddings, vector databases, document chunking, semantic retrieval, RAG architectures, or feature engineering)
- Experience preparing synthetic, masked, or de-identified datasets for test and validation environments
- Strong problem-solving, communication, and stakeholder management skills
- Proven ability to move quickly while maintaining trust, governance, quality, and repeatability
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
#RPO, #GREEN
