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Sr Data Engineer Jobs in Maple Grove, MN (NOW HIRING)

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows * DevOps, Automation & Infrastructure-as-Code * Implement infrastructure and data platform ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows * DevOps, Automation & Infrastructure-as-Code * Implement infrastructure and data platform ...

Imedica

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

You will partner with data engineers, architects, analysts, and business subject-matter experts to interpret source data, document business rules, resolve data-quality issues, and make high-value ...

Entegris

Senior Data Scientist

Chaska, MN · On-site

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... Data Engineering & Data Architecture * Design, develop, and maintain analytical data models, views ...

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Showing results 21-40

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Maple Grove, MN

Sr Data Engineer information

See Maple Grove, MN salary details

$82.9K

$129.4K

$179.2K

How much do sr data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for sr data engineer in Maple Grove, MN is $129,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,400.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Maple Grove, MN?

For Sr Data Engineer jobs in Maple Grove, MN, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Maple Grove, MN look for?

The top searched job categories for Sr Data Engineer jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Sr Data Engineer jobs?

Cities near Maple Grove, MN with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,353 per year, or $62.2 per hour.

Senior Data Engineer

UnitedHealth Group

Eden Prairie, MN • On-site

$108K - $146K/yr

Full-time

Retirement

Re-posted 19 days ago

Key responsibilities

  • Define and own the end-to-end enterprise data architecture ensuring scalability, performance, integration, and long-term sustainability

  • Lead the design of conceptual, logical, and physical data models to support OLTP, OLAP, streaming, and AI workloads

  • Architect and implement cloud-native, hybrid, and on-prem data platforms supporting ingestion, storage, processing, and analytics

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers

Job description

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Data Architecture Strategy & Leadership
    • Define and own the end-to-end enterprise data architecture ensuring scalability, performance, integration, and long-term sustainability
    • Develop and maintain reference architectures, patterns, and standards for data modeling, storage, ingestion, processing, governance, and consumption
    • Align data platforms with business outcomes, regulatory requirements, cloud strategy, and modernization initiatives
    • Evaluate and recommend technologies across SQL/NoSQL databases, data lakes, lake houses, ETL/ELT tools, and compute engines based on enterprise fit
  • Data Modeling & Database Architecture
    • Lead the design of conceptual, logical, and physical data models to support OLTP, OLAP, streaming, and AI workloads. Architect robust database schemas, partition strategies, indexing policies, sharding methods, and storage optimizations
    • Define standards for naming, modeling conventions, normalization/denormalization, and lifecycle management of data assets
    • Provide expert guidance on SQL Server, SQL MI, Azure SQL, PostgreSQL, MongoDB, and other enterprise data platforms
  • Data Platform Design & Implementation
    • Architect and implement cloud-native, hybrid, and on-prem data platforms supporting ingestion, storage, processing, and analytics
    • Design lake house and warehouse environments using Databricks, Synapse, ADF, Delta Lake, and scalable compute layers
    • Build end-to-end data flows covering batch, streaming, ELT pipelines, metadata, lineage, and monitoring
    • Ensure data platforms meet performance, concurrency, high-availability, and disaster recovery requirements
  • Data Governance, Quality & Security
    • Define policies for metadata management, classification, lineage, quality scoring, and stewardship
    • Enable enterprise governance across catalogs, glossaries, access patterns, and regulatory compliance
    • Enforce security controls such as RBAC, encryption, auditing, masking, and network isolation
    • Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows
  • DevOps, Automation & Infrastructure-as-Code
    • Implement infrastructure and data platform provisioning using Terraform/IaC for repeatable deployments
    • Build CI/CD pipelines (GitHub Actions, Azure DevOps) for data models, SQL objects, ETL workflows, and platform components
    • Support containerized workloads using Docker and Kubernetes/AKS
    • Automate environment setup, schema migrations, monitoring, and compliance checks
  • Observability, Performance & Reliability
    • Define performance benchmarks and baselines across storage, computer, SQL, and data movement
    • Optimize SQL/ETL workloads, reduce infrastructure costs, and tune pipelines for high throughput
    • Establish monitoring, alerting, anomaly detection, and reliability playbooks
    • Lead incident triage, RCA, and long-term remediation for platform stability
  • Cross-Functional Collaboration
    • Partner with Product, Engineering, Analytics, Security, and Cloud teams to align data strategy with business goals
    • Translate business requirements into scalable data solutions
    • Provide mentorship and technical leadership to data engineers, DBAs, and architects
  • Innovation & Continuous Improvement
    • Stay current with emerging trends in data modeling, platforms, storage formats, and distributed systems
    • Drive modernization initiatives such as lake house adoption, automation, and cloud-native architecture
    • Refine architecture based on usage insights and business evolution
  • Documentation & Knowledge Sharing
    • Maintain documentation of architectures, data flows, ER diagrams, standards, and decisions
    • Conduct reviews, design sessions, and best-practice workshops
    • Promote organization-wide literacy on governance, modeling, and quality

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.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or IT related field
  • 7+ years of experience in data modeling, database design, and data architecture patterns
  • 7+ years of experience with SQL Server, SQL MI, Azure SQL, PostgreSQL, MongoDB
  • 7+ years of experience in performance tuning, indexing, partitioning, and workload optimization
  • 7+ years of experience with Metadata, lineage, quality, RBAC, encryption, masking, compliance
  • 4+ years of experience with Azure Databricks, Synapse, ADF
  • 4+ years of experience with Terraform, GitHub Actions, DevOps, Kubernetes/AK

Preferred Qualifications:
  • Strong analytical, communication, and leadership skills

*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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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