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Senior Sql Data Engineer Jobs in Minnesota (NOW HIRING)

C4 Technical Services

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

Senior Data Engineer 6 month Contract-to hire Onsite in Eagan, MN 2 days a week Top 3 Must Have ... AWS * SQL Position Overview: The team is building a newenterprise data orchestration layerto ...

New

Celer Soft LLC

Sr Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Senior Data Engineer Locations: Minneapolis, MN / Plano, TX Onsite Experience: 10+ years Role ... Work with Spark SQL and advanced SQL to perform complex data transformations and aggregations.

New

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Strong SQL and Python skills (PySpark preferred) * Experience with cloud platforms (Azure preferred ...

C4 Technical Services

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred ... SQL * Data Modeling * Medallion Architecture * Lakehouse Architecture * Silver & Gold Layer ...

New

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP ... Strong SQL skills and experience designing relational and dimensional data models. * Experience ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

As a Senior Software Engineer , you will drive the full data engineering lifecycle and design ... Expertise in Databricks ( Spark or python) ,SQL, Terraform and Snowflake * Experience with DevOps ...

Conch Technologies Inc

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote ... Languages SQL Python (PySpark preferred) Data Platforms / Storage Cloud data platforms (Azure ...

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

This role bridges current-state SAP Data Services and SQL Server data warehousing with the future ... The Senior Data Engineer is expected not only to deliver, but to innovate evaluating emerging ...

Ryan Companies

Senior Data Engineer

Minneapolis, MN · Hybrid

$11K - $144K/yr

The Senior Data Engineer will play a foundational role in building and maintaining the data ... Write clean, efficient, and well-documented Python and SQL code to process and transform large ...

New

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

This role bridges current-state SAP Data Services and SQL Server data warehousing with the future ... The Senior Data Engineer is expected not only to deliver, but to innovate evaluating emerging ...

UnitedHealth Group

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and ... Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

The Optum Rx team is seeking a Sr Data Engineer to manage, optimize, and modernize critical ... Administer, maintain, and optimize enterprise SQL Server, Azure SQL, MongoDB environments ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

The Optum Rx team is seeking a Sr Data Engineer to manage, optimize, and modernize critical ... Administer, maintain, and optimize enterprise SQL Server, Azure SQL, MongoDB environments ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems ... Expert-level proficiency in SQL for data manipulation and optimization. * DevOps: Demonstrated ...

New

Cargill

Sr. Data Engineer

Wayzata, MN

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems ... Expert-level proficiency in SQL for data manipulation and optimization. * DevOps: Demonstrated ...

New

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join ... Python, SQL * Databases: Oracle, SQL Server * ETL/Data Tools: PySpark * Cloud: AWS - S3, Lambda ...

Raks Group LLC

.Net Developer

Minneapolis, MN · On-site

$48 - $63.25/hr

Richmond,VA Duration:4+Weeks Start Date: 12/4/2017 Senior SQL Programmer/Analyst with expertise reading/writing complex SQL code to create, manipulate, aggregate, and extract data-sets. Ability to ...

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Senior Sql Data Engineer information

What is a senior SQL data engineer?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

How does a senior SQL data engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

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

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.

What is the difference between Senior Sql Data Engineer vs Data Analyst?

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

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

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

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

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

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

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

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

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

Senior Sql Data Engineer jobs near you
Infographic showing various Senior Sql Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 76% In-person, 18% Hybrid, and 6% Remote job distribution.

Senior Data Engineer

C4 Technical Services

Eagan, MN • On-site

$108K - $146K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Senior Data Engineer 6 month Contract-to hire Onsite in Eagan, MN 2 days a week Top 3 Must Have Skills:
  • Databricks
  • AWS
  • SQL
Position Overview: The team is building a newenterprise data orchestration layerto centralize and standardize how the organization receives, processes, and moves data between systems. The architecture isnew and barely in production, so they want engineers who can help establish modern, standardized patterns rather than simply maintain an established platform.
  • Build and maintain data pipelines within the new orchestration/data platform.
  • Work heavily with cloud-native data technologies.
  • Help modernize existing batch-oriented data processes.
  • Participate in architecture/design discussions, troubleshooting, and potentially DevOps.
  • Take ownership of areas beyond strictly assigned development work.
Top Skills:
  • AWS (Lambda, Glue, EMR, S3, DynamoDB, SNS/SQS, EventBridge)
  • Databricks
  • Spark / PySpark
  • SQL
  • Python
Nice to Have Skills:
  • Terraform
Job Description: Senior Data Engineer Job Profile Summary
The Senior Data Engineer is responsible for the design, development, delivery, and support of enterprise data products, data integration solutions, and cloud-native data platforms. The role works across structured and unstructured data, enabling analytics, operational reporting, interoperability, and digital business capabilities through scalable and reliable data engineering solutions.
This position focuses on the design and implementation of modern data pipelines, cloud-native integration patterns, event-driven architectures, and data transformation capabilities. The Senior Data Engineer serves as a technical leader within delivery teams and collaborates closely with architects, application engineers, product owners, analysts, and business stakeholders to deliver secure, governed, and scalable data solutions.
The ideal candidate brings strong experience in Databricks, cloud data platforms, distributed processing frameworks, and enterprise integration patterns, with the ability to design and implement solutions that support both operational and analytical use cases. Core Responsibilities
  • Design, develop, deploy, and support scalable data pipelines, integration solutions, and data products supporting enterprise business capabilities.
  • Design and implement cloud-native data processing solutions leveraging AWS services, Databricks, and distributed data processing frameworks.
  • Develop and support batch, API, file-based, and event-driven integration patterns that enable secure and reliable data exchange across enterprise and partner ecosystems.
  • Lead technical design activities for data engineering solutions, including data models, transformation frameworks, ingestion patterns, and consumption layers.
  • Develop/optimize complex data transformation logic using SQL, Spark, Python, and related technologies.
  • Build and support data ingestion, enrichment, quality, lineage, and observability capabilities that improve trust, transparency, and operational supportability.
  • Implement and enhance CI/CD pipelines, infrastructure automation, testing strategies, and DevOps practices for data platforms and data products.
  • Partner with business stakeholders, application teams, and architects to translate business requirements into scalable technical solutions.
  • Ensure data solutions meet enterprise standards for security, governance, reliability, performance, and maintainability.
  • Troubleshoot complex data processing and integration issues while driving continuous improvement in platform performance, resiliency, and operational efficiency.
  • Mentor less experienced engineers and contribute to engineering standards, reusable patterns, and best practices.
Additional Responsibilities
  • Participate in technology evaluations, proof-of-concept initiatives, and architecture reviews.
  • Contribute to the development of reusable integration, transformation, and data platform patterns.
  • Share technical expertise through mentoring, documentation, and knowledge-sharing activities.
  • Stay current on emerging cloud, data engineering, AI, and interoperability technologies.
Required Skills and Experience
  • 5+ years of related professional experience. All relevant experience including work, education, transferable skills and military experience will be considered
  • Direct experience in data engineering, data integration, or data platform development
  • Essential Candidate Qualities:
    • Creative thinking, strong communication skills, curiosity, self-motivated, time management skills
  • High school diploma (or equivalency) and legal authorization to work in the U.S.
Preferred Technical Experience Data Engineering & Analytics
  • Databricks
  • Apache Spark / Spark SQL
  • Delta Lake
  • Python
  • SQL
  • Data modeling and schema design
  • Data quality, lineage, and observability
  • Experience working with operational and analytical data platforms
  • Data modeling and performance optimization are a plus
Cloud & DevOps
  • AWS (Lambda, Glue, EMR, S3, DynamoDB, SNS/SQS, EventBridge)
  • Infrastructure as Code (Terraform preferred)
  • CI/CD pipelines using GitLab, GitHub Actions, Jenkins, or similar tools
AI and Emerging Technologies (Nice to have)
  • Exposure to AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, Claude, etc
  • Interest in applying AI capabilities to software development, automation, testing, and operational processes.
Ideal Candidate Profile
  • Comfortable working across data engineering, integration engineering, cloud development, and platform enablement.
  • Demonstrated experience with Databricks and Cloud-based data platforms.
  • Experience designing and implementing enterprise-scale data pipelines, integration solutions, and data transformation processes.
  • Experience designing and implementing modern cloud data platforms utilizing Databricks, Apache Spark, Delta Lake, or similar technologies.
  • Strong SQL skills with experience developing and optimizing complex transformation and analytical workloads.
  • Experience working with cloud-native platforms and distributed data processing technologies.
  • Able to lead technical workstreams and influence engineering direction within a team.
  • Effective mentor and technical partner across engineering, architecture, and business stakeholders.
  • Strong collaboration, problem-solving, and communication skills.
  • Comfortable operating in agile product teams and cross-functional environments.
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About C4 Technical Services

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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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