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Data Engineer Jobs in Austin, MN (NOW HIRING)

Mastech Digital

Senior Data Engineer

Austin, MN · On-site

$117K - $164K/yr

We are currently seeking a Senior Data Engineer for our client in the Manufacturing domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

IBI Data

Default Job Application

Brownsdale, MN · On-site

... data and web programming, etc. New employees must be willing to do various jobs listed above since our business workloads fluctuate to different areas at different times. Also, being able to do ...

IBI Data

Default Job Application

Brownsdale, MN · On-site

... data and web programming, etc. New employees must be willing to do various jobs listed above since our business workloads fluctuate to different areas at different times. Also, being able to do ...

EPS

Commissioning Engineer

Albert Lea, MN · On-site

Commissioning Engineer About The Company: Electric Power Systems (EPS) is a NETA-accredited ... Data Centers, Utility, Generation, Renewables, Transit, Industrial and Commercial Facilities ...

Geotek LLC

Manufacturing Engineer

Stewartville, MN · On-site

$75K - $113K/yr

Conduct engineering trials and analyze production data * Support capital projects from concept through implementation * Train production teams on new processes What We're Looking For * Bachelor ...

EPS

Commissioning Engineer

Albert Lea, MN

Commissioning Engineer About The Company: Ele ct ric Power Systems (EPS) is a NETA -accredited ... across Data Centers, Utility, Ge neration, Renewables, Transit, Industrial and Commercial ...

Geotek LLC

Sr. Applications Engineer

Stewartville, MN · On-site

$98K - $138K/yr

Interpret lab and field test data to drive design decisions * Create and review engineering drawings, documentation, and technical specifications * Support technical conversations with customers and ...

EPS

Sr. Relay Technician

Albert Lea, MN · On-site

$55 - $90/hr

... engineering organization specializing in electrical acceptance testing, commissioning, and maintenance for clients across Data Centers, Utility, Generation, Renewables, Transit, Industrial and ...

EPS

Sr. Relay Technician

Albert Lea, MN

$55 - $90/hr

... engineering organization specializing in electrical acceptance testing, commissioning, and maintenance for clients across Data Centers, Utility, Generation, Renewables, Transit, Industrial and ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Austin, MN

Data Engineer information

See Austin, MN salary details

$43.3K

$126.3K

$172.8K

How much do data engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data engineer in Austin, MN is $126,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $133,900.00 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.
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Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Mastech Digital

Austin, MN • On-site

$117K - $164K/yr

Full-time

Posted 7 days ago

Job description

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Senior Data Engineer for our client in the Manufacturing domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Permanent position, and the client is looking for someone to start immediately.

Duration: Full-time

Location: Austin, MN (Onsite)

Salary: $117,000-$164,000/Annually

Role: Senior Data Engineer

Primary Skills: ETL

Role Description: The Senior Data Engineer must have 10+ years of experience. You must have extensive Supply Chain Management and SCM Data Sets experience.

Required Experience and Skills:

- Experience in engineering within a data warehouse or related experience with dimensional data modeling.

- Experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.

- Experience with Supply Chain data, including logistics, inventory, procurement, and manufacturing.

- Managing a team and handling performance reviews, annual reviews etc.

- Proven ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.

- Experience with reading and writing SQL.

Key Take Aways and Key Responsibilities for the Project:

- Strong Dimensional Data Modeling experience building DWs is critical.

- Will be overseeing a team of 3 internal resources comprised of data analyst and jr. Data Engineers plus eight external resources.

- Time spent is about 50% managing and 50% Development, fixing fires, managing issues etc.

- The management is not just being a lead; it is direct supervision. i.e., annual reviews. This is all about data sets in Supply Chain. Demand planning, sales planning etc.

- They are Agile and this role is responsible for setting up and running the two-week sprints.

Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent

Experience: Minimum 10+ years of experience

Relocation: This position will cover relocation expenses

Travel: No

Local Preferred: Yes

Note: Must be able to work on a W2 basis (No C2C)

Recruiter Name: Anshika Pasahan

Recruiter Phone: 484-331-9597

Benefits:

This is a direct hire position, and the hired applicant will receive our client’s benefits package.

Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.