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Data Engineer Data Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project Description: You will be part of the Myads reporting team responsible for building the measurement ...

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 ...

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 ...

Data Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time ...

Data Engineer

Eden Prairie, MN · On-site

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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

Data Engineer

Rochester, MN · On-site

$111K - $134K/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 ...

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 ...

Data Engineer

Saint Cloud, MN · On-site

$113K - $136K/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 ...

Data Engineer

Duluth, MN · On-site

$127K - $153K/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 ...

Data Engineer

Minneapolis, 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 ...

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 ...

Data Engineer Principal

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 ...

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 ...

Data Engineer

Minneapolis, MN · On-site

$95K - $120K/yr

The Data Engineer will be responsible for a wide variety of tasks which include all aspects of the development and delivery of data solutions and maintaining the enterprise data warehouse. You will ...

Data Engineer Location: Minneapolis, MN. Chandler, AZ. Irving, TX Pay Rate: $76 Top Skills * 5+ years of experience designing ETL (SSIS/ADF), DBMS(SQL Server/Azure SQL/Oracle/Teradata), Python ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking Data Engineers to manage, transfer, manipulate, or integrate data to ensure exceptional performance for their customers' businesses. Responsibilities : • Design and development of ...

Data Engineer Lead

Lake Elmo, MN · On-site

$98K - $199K/yr

The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, 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:
Data Engineer

Data Engineer

Stellar IT Solutions LLC

Minneapolis, MN • Hybrid

$50 - $55/hr

Contractor

Posted 10 days ago


Job description

Data Engineer

Richfield, MN 55423 (Local - Hybrid 2 Days/Week)

12+ Months Contract

Project Description:
You will be part of the Myads reporting team responsible for building the measurement, reporting, and insights platform that powers Ads and the broader Retail Media Network. In this role, you will design, develop, and maintain scalable, reliable, and high-performance data solutions that enable advertisers, merchants, and internal teams to measure campaign performance and business impact.
As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (GCP) while contributing to the architecture and implementation of measurement platforms. You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and other cross-functional teams to deliver high-quality solutions that meet business needs and support growth objectives. You will participate in the full software development lifecycle, including design, implementation, testing, deployment, and ongoing optimization of data and measurement systems. This role is hybrid, which means you will work some days on site at the client's location and some days virtually from home.
Position Summary/Job Description:
Hire an experienced Data Engineer to design, build, and maintain scalable batch/streaming data pipelines on Google Cloud. The role requires deep SQL expertise, production grade orchestration with Apache Airflow (Cloud Composer), and strong Python for ELT/ETL, with exposure to Postgres.
Skills Overview:
• SQL (5+ years)
• Apache Airflow (Cloud Composer) (3+ years)
• GCP (BigQuery, Dataflow, Pub/Sub, GCS, Composer) (3+ years)
• Python (5+ years)
• Big Data (warehousing/processing concepts, performance)(5+ years)
• Postgres (3+)
Experience
• Design, develop, and operate reliable data pipelines and DAGs using Apache Airflow/Cloud Composer for batch and near real time workflows.
• Build ELT/ETL on GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage; Composer for orchestration); enforce coding, testing, and observability standards.
• Write expert level SQL for modeling, complex transformations, windowing functions, and performance tuning; own query efficiency and cost optimization.
• Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment to Composer/Dataflow.
• Work with Big Data ecosystems and MPP warehouses; support data ingestion, schema evolution, and partitioning/clustering strategies.
• Integrate Postgres sources/targets
• Partner with product, analytics, and platform teams; uphold security, compliance, data quality (DQ checks, SLAs), and documentation standards.
What are some preferred/nice to have skills the manager is looking for?
• Who has worked in ads domain.
• Should be able to talk to stakeholders and understand the problem and solve it efficiently
• Preventing data quality issues before they impact users.
• Prioritizing projects and handling multiple requests.