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# Data Engineer

- **Company:** Optum, Inc
- **Location:** Minnetonka, MN, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $72,800.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, Data Systems, Data Warehousing, Database Queries, DevOps, Dimensional Modeling, Disaster Recovery, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, NoSQL, Performance Tuning, Query Optimization, Reference Data, Cloud Services, SQL Stored Procedures, SQL Databases, Workflow Management Systems, System Availability, Indexer, Data Strategy, Pandas, Pyspark, Kubernetes, Data Lineage, Data Management, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dbb3140ee1f47831

## About the Role

We are seeking a highly skilled Data Engineer to the design, development, and optimization of large-scale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges., * 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
 * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

## Description

* Technical Leadership
 + 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
 * Data Engineering & Pipeline Development
 + 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
 * Cloud & Infrastructure
 + 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
 * Data Warehousing & Modeling
 + 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
 * Data Governance & Quality
 + 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

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.


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