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Senior 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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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Maple Grove, MN

Senior Data Engineer information

See Maple Grove, MN salary details

$82.9K

$129.4K

$179.2K

How much do senior data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior 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 senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Maple Grove, MN?

The most popular types of Data Engineer jobs in Maple Grove, MN are:

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

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

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

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% 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 17 days ago

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.
#RPO #GREEN

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