The Role
Design, build, and operate scalable ETL/ELT pipelines and publish curated datasets in cloud warehouses/lakehouses. Implement orchestration, data quality, observability, security/governance, CI/CD and IaC. Partner with stakeholders to deliver reliable data products, mentor engineers, and lead incident response and runbooks.
Summary Generated by Built In
Requisition Number: 2355010
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Own the design, build, and operation of reliable data pipelines and curated data products that power analytics, reporting, and downstream applications.
Set engineering standards for data quality, observability, security, and cost/performance across the data platform.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
What success looks like (first 3-6 months)
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Own the design, build, and operation of reliable data pipelines and curated data products that power analytics, reporting, and downstream applications.
Set engineering standards for data quality, observability, security, and cost/performance across the data platform.
Primary Responsibilities:
- Design and implement scalable ETL/ELT pipelines (batch and/or streaming) with strong guarantees: idempotency, incremental processing/CDC, backfills, and schema evolution
- Model and publish well-defined datasets in a cloud data warehouse/lakehouse (dimensional modeling, partitioning/clustering, performance tuning)
- Build orchestration workflows (Airflow/Dagster/Prefect) with robust dependency management, retries, SLAs, and operational runbooks
- Establish data quality and testing practices (unit/integration tests for transformations, validation rules, anomaly detection, and data contract checks)
- Implement end-to-end observability (structured logging, metrics, lineage/metadata where available, alerting on freshness/volume/drift/failure modes)
- Partner with Analytics, Product, and Engineering to translate requirements into maintainable data products and clear dataset contracts/documentation (e.g., data dictionaries)
- Apply security and governance controls for sensitive data (PII/PHI), including least-privilege access, auditing, and retention policies
- Drive CI/CD and infrastructure-as-code for data workloads (Git-based workflows, automated checks, environment promotion)
- Mentor engineers, review designs/code, and lead incident response and postmortems for data reliability issues
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- BTech / MCA
- Proven experience building and operating data pipelines at scale (incremental loads, CDC patterns, backfills, late-arriving data handling)
- Experience with workflow orchestration (Airflow/Dagster/Prefect) and operational ownership (SLAs, on-call readiness, runbooks)
- Experience with CI/CD and IaC (Terraform/CloudFormation) for reproducible, auditable deployments
- Hands-on experience with a modern cloud data stack (AWS/GCP/Azure) and a warehouse/lakehouse (e.g., Snowflake/BigQuery/Redshift/Databricks)
- Familiarity with distributed processing (Spark or equivalent) and performance debugging (partitioning, shuffles, skew)
- Solid understanding of data modeling (star/snowflake, SCDs) and dataset lifecycle management
- Solid fundamentals in security/compliance for data (encryption, access control, auditing; handling PII/PHI)
- Proven advanced SQL: complex joins, window functions, query optimization, and warehouse performance tuning
- Proven solid programming skills in Python (preferred) with production engineering practices (packaging, testing, linting, code review)
Preferred Qualifications:
- Experience in Streaming/event-driven architectures (Kafka/Kinesis/Pub/Sub), exactly-once/at-least-once tradeoffs, watermarking concepts
- Experience in Data governance/metadata tooling (catalogs, lineage, ownership) and data contract frameworks
- Domain experience in healthcare/claims/EHR data (or other regulated environments) and associated compliance practices
What success looks like (first 3-6 months)
- Critical pipelines are reliable, observable, and meet freshness SLAs with clear ownership and runbooks
- New/updated datasets ship with quality checks and documentation, and changes are managed via versioned contracts
- Platform cost/performance improves measurably through optimization and better operational discipline
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Skills Required
- BTech or MCA degree
- Proven experience building and operating data pipelines at scale (incremental loads, CDC, backfills, late-arriving data handling)
- Experience with workflow orchestration (Airflow/Dagster/Prefect) and operational ownership (SLAs, on-call readiness, runbooks)
- Experience with CI/CD and Infrastructure-as-Code (Terraform/CloudFormation)
- Hands-on experience with a modern cloud data stack (AWS/GCP/Azure) and a warehouse/lakehouse (Snowflake/BigQuery/Redshift/Databricks)
- Familiarity with distributed processing (Spark or equivalent) and performance debugging
- Solid understanding of data modeling (star/snowflake, SCDs) and dataset lifecycle management
- Fundamentals in data security/compliance for sensitive data (PII/PHI), encryption, access control, auditing
- Proven advanced SQL: complex joins, window functions, query optimization, warehouse performance tuning
- Proven programming skills in Python with production engineering practices (packaging, testing, linting, code review)
- Experience with Git-based workflows and automated checks for deployments
Optum Compensation & Benefits Highlights
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Healthcare Strength — Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
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Parental & Family Support — Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
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Retirement Support — Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
