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Data Engineer Data Jobs in Minnesota (NOW HIRING)

Data Engineer

Saint Paul, MN ยท 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 ...

Data Engineer

Minneapolis, MN ยท 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.

Data Engineer

Saint Paul, MN ยท 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 ...

Data Engineer

Minneapolis, MN

$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 ...

Data Engineer

Saint Paul, MN ยท 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 ...

Data Engineer

Minneapolis, MN ยท On-site

$80 - $100/hr

We are seeking a Big Data Engineer to join our Data Engineering team and help deliver scalable, governed, and business-aligned data products across the enterprise. The ideal candidate will have ...

New

Lead Data Engineer

Eagan, MN ยท On-site

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

Lead Data Engineer

Eagan, MN ยท Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Data Engineer - Splunk and Elastic Search Location: Minneapolis, MN : Basic Qualifications - Bachelor's degree or equivalent work experience - At least 6 years experience with developing and ...

Data Engineer

Minneapolis, MN ยท 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 ...

Data Engineer

Minneapolis, MN ยท 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 ...

Data Engineer

Minneapolis, MN ยท 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 ...

Data Engineer

Bloomington, MN ยท 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 ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Minnesota? For Data Engineer Data jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Data Engineer Data jobs? Cities in Minnesota with the most Data Engineer Data job openings:
US Data Engineer - Data Platforms

US Data Engineer - Data Platforms

Donato Technologies, Inc

Minneapolis, MN โ€ข On-site

Contractor

Posted 8 days ago


Job description

We are seeking a Senior/Lead Data Engineer with strong hands-on experience in creating data pipelines using Snowflake, SQL,ย PL/SQL, AWS,ย experience in requirementsย &ย data analysis and data modeling.


Location:ย **Candidates MUST be local to MSP = Minneapolis. โ€“ 4 days onsite

โ€‹Required skills:

  • This is a hands-on delivery lead role specialized in data engineering
  • Strong communication skill to work with senior executives
  • 20-25 years of experience in Information Technology services across industries
  • 8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL)
  • 5 years of experience in designing data conformation from disparate data sources for data analytics
  • 3 years of experience inย Cloudย platformย (AWS)
  • Informatica Intelligent Cloud Services - ETL Processes to handle high-volume data for Power BI
โ€‹Nice to have skills:
  • Power BI hands-on experience

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.