Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Data Engineer will architect, develop, and optimize large-scale data platforms, pipelines, warehouses, and analytical solutions while leading engineering efforts and mentoring team members. The role also focuses on AWS cloud infrastructure, data governance and quality, and responsible AI-powered solutions.

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

• 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

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