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Data Engineer Data Analyst Jobs in Maple Grove, MN

Working in a collaborative Agile environment, this individual partners with developers, data engineers, data scientists, and business leaders to deliver reporting and analytics solutions that ...

Working in a collaborative Agile environment, this individual partners with developers, data engineers, data scientists, and business leaders to deliver reporting and analytics solutions that ...

Principal Data Analyst

Bloomington, MN ยท On-site

$50.32 - $75.48/hr

Working in a collaborative Agile environment, this individual partners with developers, data engineers, data scientists, and business leaders to deliver reporting and analytics solutions that ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Minneapolis, MN ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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 ... Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and ...

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 ... Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and ...

Associate Data Analyst

Minneapolis, MN ยท On-site

$56K - $77K/yr

With engineers employed in nearly every major department, engineering is in our DNA. Banner is a ... Position Summary The Associate Data Analyst is a member of Banner Engineering's Data Team ...

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

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.

One Tech Engineering is searching for a Data Analyst for a position located in Denver, Colorado, or Minneapolis, Minnesota. The Data Analyst will be supporting energy efficiency programs by ensuring ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

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Data Engineer Data Analyst information

See Maple Grove, MN salary details

$34.8K

$84.6K

$139.3K

How much do data engineer data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer data analyst in Maple Grove, MN is $84,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $99,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

What are the key skills and qualifications needed to thrive as a Data Engineer/Data Analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Maple Grove, MN? For Data Engineer Data Analyst jobs in Maple Grove, MN, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Maple Grove, MN look for? The top searched job categories for Data Engineer Data Analyst jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Data Engineer Data Analyst jobs? Cities near Maple Grove, MN with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Maple Grove, MN as of July 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, and 6% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $84,619 per year, or $40.7 per hour.
US Data Engineer - Data Platforms

US Data Engineer - Data Platforms

Donato Technologies, Inc

Minneapolis, MN โ€ข On-site

Contractor

Posted 5 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.