Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group's Optum delivers technology-enabled care, pharmacy benefits, data, and resources to help millions of people live healthier lives. The Data Engineer will lead the architecture, development, and optimization of large-scale data platforms, pipelines, warehouses, and AI-powered solutions while guiding engineering teams and advancing data governance, quality, and strategy.
Responsibilities
- Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows
- Lead end‑to‑end data engineering efforts, ensuring reliability, performance, and cost‑efficient data systems
- Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration
- Collaborate with cross‑functional teams (analytics, product, engineering, business) to align data solutions with business goals
- Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow
- Manage large-scale data ingestion, transformation, and orchestration frameworks
- Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems
- Develop and manage cloud‑native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)
- Ensure high availability, disaster recovery, and monitoring of critical data workflows
- Implement CI/CD, infrastructure‑as‑code, and DevOps practices for data engineering workloads
- Design and enhance enterprise data warehouses and data marts following industry best practices
- Drive dimensional modeling, data partitioning, performance tuning, and metadata management
- Ensure consistency and quality across analytical datasets and data sources
- Establish data quality frameworks, lineage tracking, validation checks, and documentation
- Implement governance standards including security, compliance, and access control
- Partner with business stakeholders to define and enforce master data and reference data strategies
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Skills
- Bachelor's degree in CS or IT related field or equivalent experience in Lieu of degree
- 6+ years of experience in Data Engineering, with at least 3+ years in a senior/principal‑level role
- 4+ years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning
- 4+ years of experience in Data Warehousing, ETL/ELT, and big‑data processing
- 3+ years of hands‑on experience with AWS Cloud for data architecture and pipeline development
- 3+ years of experience in Python for data engineering (Pandas, PySpark, etc.)
- 2+ years of extensive experience with Airflow for workflow orchestration
- 2+ years of experience in data management principles: governance, quality, lineage, and security
- Excellent leadership, communication, and cross‑team collaboration skills
- Ability to translate business needs into scalable technical designs
Benefits
- The flexibility to telecommute from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
Company Overview