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Entry Level Data Engineering Jobs in Minnesota (NOW HIRING)

Ames Construction

Data Analyst

Burnsville, MN · On-site

We are looking for an entry-level Data Analyst to join our team and support the modernization of ... Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ...

Ames Construction

Data Analyst

Burnsville, MN

We are looking for an entry-level Data Analyst to join our team and support the modernization of ... Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ...

DeFiner Inc

* 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Minneapolis, MN

$99K - $232K/yr

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 ...

RFA Engineering

Entry Level Accountant

Eden Prairie, MN · On-site

$50K - $70K/yr

This Accountant will assist with financial reporting, data entry, account reconciliation, and other ... Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque ...

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Entry Level Data Engineering information

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

As of Jun 8, 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 Engineering job?

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 in the Entry Level Data Engineering position, and why are they important?

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.

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:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Minnesota as of May 2026, with employment types broken down into 1% Locum Tenens, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.
Data Analyst

Data Analyst

Ames Construction

Burnsville, MN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Ames Construction has been building America for more than 60 years, and the people who work here are the reason we continue to succeed.
We are a full-service, heavy civil and industrial contractor building critical infrastructure, including highways, bridges, mines, dams, rail, and more. Our teams take on challenging projects that keep communities safe, supply chains moving, and the country connected.
At Ames, we are Fueled by Family and Driven by Ownership. That means we look out for one another, take pride in what we build, and take responsibility for our actions, our results, and the long-term health of the company.
Guided by our core values of People, Team, Our Bond, Persistence, and Vision, we do what we say we will do, push through challenges and deliver work we're proud of.
When you join Ames, you're joining a company built for long-term success - where skilled people, strong teams, and disciplined execution come together to build careers and a better future.
We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone early in their career who is enthusiastic about data engineering, analytics, AI, and cloud-first modernization. You will gain hands-on experience across the end-to-end data lifecycle-from ingestion through transformation and modeling to reporting-helping build scalable, governed datasets and analytics outputs.
Essential Functions
  • Back-End Development (Data Engineering & Modernization):
    Building out data pipelines and integrations across data sources to a cloud platform (Lakehouse, Data Warehouse) to support data transformation and modeling using SQL, Python and AI as well as assist with custom app support.
  • Data Quality and Governance Support:
    Implement data validation routines and monitor data integrity across systems. Debug and resolve data quality, pipeline reliability, and performance issues across the data stack. Contribute to data governance efforts by tagging and classifying datasets, maintaining metadata, and supporting compliance with organizational standards using Databricks Unity Catalog.
  • Front-End Development (Semantic Layer & Reporting):
    Help design and publish data models, schemas, and storage to simplify data access for business users. Support the creation and maintenance of reports and dashboards using Power BI, other visualization tools, and AI. Ensure outputs are accurate, user-friendly, and aligned with stakeholder requirements. Partner with security and infrastructure teams to secure and request access from data to reporting via Azure Key Vault, Databricks, custom apps, Power BI
  • Stakeholder Engagement and Request Intake:
    Engage with business users across departments to understand data needs and provide initial support for data requests. Document requirements, assist in scoping tasks, and escalate complex requests to senior team members for further evaluation.
  • Data Documentation and Best Practices:
    Maintain clear and organized documentation of data sources, pipeline logic, and reporting processes. Learn and apply best practices for data engineering, including modular coding, version control, and platform-specific standards.
  • Skill Development and Continuous Learning:
    Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data engineering contributes to broader organizational goals such as data democratization, AI readiness, and strategic decision-making.

Qualifications
  • Education: Bachelor's degree in data science, Statistics, Computer Science, Business, or equivalent work experience.
  • Experience: Internship, academic, or project-based experience in data engineering, analytics engineering, or a related field, including basic data modeling and relational database concepts. Demonstrated ability to build or support data workflows end-to-end (ingestion through transformation to reporting) in a way that improves data reliability and usability.

Technical Skills:
  • Experience in building and supporting data visualizations, such as Power BI, Excel, or Databricks Dashboards.
  • Familiarity with Github-based workflows and CI/CD fundamentals (branching, pull requests, code reviews) and basic monitoring/data-quality practices.
  • Strong skills in coding languages such as SQL, Python, or Py-Spark for data querying and extraction, transformation, and loading (ETL/ELT) processes across Lakehouse and warehouse environments.
  • Introductory experience with statistical analysis tools (e.g., Python, R) and data processing frameworks as well as working with structured and unstructured data.
  • Understanding data quality assurance practices and data validation techniques.
  • Familiarity with end-to-end data platforms, such as Databricks, Azure, or Google Cloud, is a plus.
  • Knowledge of custom app building via Microsoft Power Apps and Databricks Apps.
  • Familiarity with using AI-assisted tools to improve productivity and code quality while following data security and governance standards.

Soft Skills:
  • Demonstrates strong problem-solving skills and a detail-oriented mindset when working with data and code. Proactively identifies data issues and seeks guidance to resolve them.

Working Conditions
  • Location - This position will work out of our Burnsville, MN office.
  • Office environment - extensive sitting at desk and computer; some standing, bending at the waist, stooping, and reaching required; ability to lift 5-20 pounds occasionally.
  • Schedule: M-F, 8am -5pm

Total Rewards
People are the most important asset at Ames Construction.
  • Base salary range is $60,000-$80,000 a year, which varies depending on many factors, including experience, skills, and knowledge.
  • This role is eligible for a discretionary bonus.
  • Ames offers generous retirement benefits, including Employee Stock Option Plan (ESOP) participation and a 401k match.
  • Ames' non-craft health benefits package is designed so that our team members flourish, with medical, dental, and vision (all at one low premium), voluntary benefits, company holidays, and paid time off. Please see the Benefits section of our Careers page for more information.

Ames Construction 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 status as a protected veteran.

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