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Entry Level Data Engineering Jobs in Minnesota (NOW HIRING)

* Work closely with engineering and marketing teams to identify and answer important product ... Collaborate closely with data analysts, data engineers, and business and project stakeholders to ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Engineering Technician

Saint Paul, MN · On-site

$20 - $24/hr

... data, supporting packaging projects, and collaborating with internal teams and suppliers to improve packaging performance, quality, and compliance. This is an entry-level engineering position ...

Conducts engineering design under the supervision of an experienced engineer. * Creates designs ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

Conducts engineering design under the supervision of an experienced engineer. * Creates designs ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

... engineering emphasis. Starting Annual Salary Range: $69,000 - $85,000. A variety of factors are considered when determining an offer including, but not limited to, market data, geographic location ...

... engineering emphasis. Starting Annual Salary Range: $69,000 - $85,000. A variety of factors are considered when determining an offer including, but not limited to, market data, geographic location ...

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Entry Level Data Engineering information

See Minnesota salary details

$11

$19

$30

How much do entry level data engineering jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level data engineering in Minnesota is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.44 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Minnesota?

The most popular types of Data Engineering jobs in Minnesota are:

What are popular job titles related to Entry Level Data Engineering jobs in Minnesota?

For Entry Level Data Engineering jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Minnesota look for?

The top searched job categories for Entry Level Data Engineering jobs in Minnesota are:

What cities in Minnesota are hiring for Entry Level Data Engineering jobs?

Cities in Minnesota with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.

Full-time

Re-posted 24 days ago


Job description

Job Description
  • Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth.
  • Create machine learning solutions for a diverse set of business problems.
  • Employ structured approaches to leveraging large data sets to uncover new insights.
  • Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions.
  • Present and defend results to leadership audiences, both technical and non-technical.
  • Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally.
Tech Stack
  • SQL
  • Python
  • Jupyter Notebook
  • (Optional) R script
Experience & Qualifications
  • Passion in modern technology and ability to work in a start-up environment.
  • Efficient on Jupyter Notebook
  • Good mathematic and algorithm background
  • Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues.
  • Highly organized individual with attention to detail and excellent ability to execute on deliverables.
Employment Type: FULL_TIME