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

Legence

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Noblesoft Technologies

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ years of experience as a Cloud Data Engineer. * * Hands-on experience with Azure Cloud data tools (ADF ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

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 ...

Noblesoft Technologies

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

GCP Data Engineer Location: Minneapolis, MN(Remote) * Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine ...

Genesis10

Principal Data Engineer - Hybrid

Eagan, MN · On-site

$95.60 - $105.60/hr

As the Principal Data Engineer , you will serve as the most senior technical contributor on the Data Platform Engineering team. This role is responsible for providing technical leadership ...

My3Tech Inc

Data Engineer - Clinical

Eden Prairie, MN · On-site

$116K - $140K/yr

Data Engineering Position will help address a spike in the data acquisition work we routinely perform on the Optum Data Lake (ODL). The spike is due to Clinical Performance (CP) needing several new ...

Xcel Energy

Senior Data Engineer

Minneapolis, MN

$110K - $150K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

My3Tech Inc

Data Engineer - Clinical

Eden Prairie, MN · On-site

$116K - $140K/yr

Data Engineering Position will help address a spike in the data acquisition work we routinely perform on the Optum Data Lake (ODL). The spike is due to Clinical Performance (CP) needing several new ...

Target

Lead Data Engineer - Finance Tech

Minneapolis, MN

$132K - $238K/yr

As a Lead Data Engineer, you will serve as the technical lead for the engineering team, designing and developing scalable, high-performance data solutions. You will drive the evolution of our data ...

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge - requirements, design history, test data, quality records and more - is current, trusted ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge -- requirements, design history, test data, quality records and more -- is current, trusted ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN

$111K - $151K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge - requirements, design history, test data, quality records and more - is current, trusted ...

Allianz

Data Engineer Principal_3003

Minneapolis, MN · On-site

We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong ...

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All JobsData Engineer JobsData Engineer Jobs in Maple Grove, MN

Data Engineer information

See Maple Grove, MN salary details

$45.6K

$132.8K

$181.8K

How much do data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer in Maple Grove, MN is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $140,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Maple Grove, MN as of August 2026, with employment types broken down into 84% Full Time, 7% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $132,823 per year, or $63.9 per hour.

Sr Data Engineer

Avani Technology Solutions, Inc.

Minnetonka, MN • On-site

$56.75 - $75/hr

Full-time

Re-posted 7 days ago

Job description

POsition : Data Engineer
Location : Minnetonka, MN AND Raleigh, NC
Duration : 6 Months to hire
Experience and Required qualifications:
To be considered for this position, applicants need to meet the qualifications listed in this posting.
Required Qualifications:
• Bachelor's degree
• A passion for engineering and a consistent record of delivering great software
• 6 + Years Hands-on expertise with Java stack
• 3 + years of Big Data Application Development specific skills : Java , Big Data with Spark and Scala, Apache Kafka,Elastic Search,HBase and Hive, Sqoop, Hbase, MaprDB, MapReduce, HDFS, Kubernetes/Openshift, MapR FS, Docker, oozie
• Strong Knowledge on CI/CD
• Experience in design, implementation and deployment of scalable API services
• Good understanding of Agile/Scrum methodology
• Clear and concise communication, able to articulate clearly
Regards,
Rajeev
585-532-7200 Ext 9016

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