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Senior Data Analytics Engineer Jobs in Minnesota

C4 Technical Services

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up. * This individual will work closely with Data & AI ...

US Bank

Infrastructure Data Analytics Engineer

Hopkins, MN

$116K - $139K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

U.S. Bank

Infrastructure Data Analytics Engineer

Hopkins, MN · On-site

$116K - $139K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$100 - $130/hr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

Knutson-Construction

Senior Data Analyst

Minneapolis, MN · On-site

$100 - $130/hr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Minnesota

Senior Data Analytics Engineer information

See Minnesota salary details

$79.3K

$123.7K

$171.4K

How much do senior data analytics engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior data analytics engineer in Minnesota is $123,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $141,000.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Minnesota?

The most popular types of Data Analytics Engineer jobs in Minnesota are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Minnesota?

For Senior Data Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Minnesota look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Data Analytics Engineer jobs?

Cities in Minnesota with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,727 per year, or $59.5 per hour.

Senior Databricks

C4 Technical Services

Chanhassen, MN • On-site

$124K - $164K/yr

Other

Posted 11 days ago

Job description

Senior Databricks Analytics Engineer
Contract-(3-6 months)
Hybrid - Chanhassen, MN (Local Preferred)
Role Overview:

  • We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up.
  • This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets.
  • The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.

Top Skills:

  • Databricks
  • Delta Lake
  • PySpark
  • SQL
  • Data Modeling
  • Medallion Architecture
  • Lakehouse Architecture
  • Silver & Gold Layer Development
  • Semantic Modeling
  • Analytics Engineering
  • Data Warehousing
  • PowerBI

Nice to have Skills:

  • Databricks Apps
  • Unity Catalog
  • dbt
  • Microsoft Fabric
  • Power BI Semantic Models
  • Unstructured Data Ingestion
  • AI / GenAI Data Preparation
  • Vector Databases
  • Azure AI Services
  • RAG Framework Exposure
  • Python
  • Azure Data Factory

Job Description:

  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.

Ideal Candidate Profile:

  • Senior Databricks Analytics Engineer
  • Senior Data Engineer
  • Lakehouse Engineer
  • Analytics Engineer
  • Databricks Consultant
  • Databricks Data Architect (hands-on)
  • Data Platform Engineer
  • Azure Databricks Engineer
  • Data Warehouse Engineer with Lakehouse experience
C4 Technical Services logo

About C4 Technical Services

Sourced by ZipRecruiter

C4 Technical Services is a national privately held women and African American owned Staffing and Consulting company based in Minneapolis, Minnesota. We are committed to maintaining our entrepreneurial spirit as we grow and help our clients grow. This gives us the ability to be flexible and responsive as we align with client organizations to help scale their IT, Infrastructure, Digital UX, Application Development, Strategy, and Telecom to increase and support their growing business needs. We have a deliberate commitment to a partner pipeline – always on the hunt for new technology and new solutions to problems, new and old. Our areas of technical focus include D365 Consulting, Microsoft O365, SCCM, SCSM, Cyber Security, Digital UX, UI Development, DevOps, Cloud, PMO, iOS, Android, Power BI, Data Visualization, Kafka, Python, Java, .NET, Chaos Engineering, Call Center, and Ransomware attacks.

Company size

201 - 500 Employees

Headquarters location

Little Canada, MN, US

Year founded

2013

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