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

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Accelint

Data Engineer

Saint Paul, MN · On-site

$101K - $130K/yr

Data Engineer * Full Time * Onsite/Hybrid Preferred Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

American Public Media Group

Data Engineer

Saint Paul, MN · On-site

$105K - $112K/yr

The Data Engineer is a core member of the APMG Technology team, responsible for building and maintaining data pipelines, integrations, and models that power the organization's reporting and ...

American Public Media Group

Data Engineer

Saint Paul, MN · On-site

$105K - $112K/yr

The Data Engineer is a core member of the APMG Technology team, responsible for building and maintaining data pipelines, integrations, and models that power the organization's reporting and ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

HealthPartners

Data Engineer Principal

Bloomington, MN · On-site

$39.89 - $55.55/hr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer Minneapolis, MN, Long Term Minimum 5 - 6 years of hands on experience in Core Java and Hadoop development. Responsibilities: * Develop and integrate software applications using suitable ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Deloitte

Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

TriOptus LLC

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders * We have 1 product owner on the team and work with several others directly * We have a Scrum Master aligned as well ...

Braun Intertec

Data Engineer

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will ensure the efficient flow, management, and consumption of data across our business systems. This role will collaborate with cross-functional teams to understand data ...

Bespoke Labs

Data Engineer

Plymouth, MN · On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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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 Jul 4, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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 Data Engineer jobs in Maple Grove, MN? For Data Engineer jobs in Maple Grove, MN, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Maple Grove, MN look for? The top searched job categories for Data Engineer jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Data Engineer jobs? 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 June 2026, with employment types broken down into 3% As Needed, 92% Full Time, 1% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,823 per year, or $63.9 per hour.
Data Engineer

Data Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$117K - $140K/yr

Contractor

Posted 5 days ago

Job description

Job Role - Data Engineer
Location - Minneapolis, MN(Remote)
Job Details:
Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services
Data Engineer : Python, PySpark, Databricks with UC, Azure Services