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Entry Level Databricks Data Engineer Jobs in Minneapolis, MN

US Bank

Data Solutions & Enablement Consultant

Minneapolis, MN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will collaborate closely with analysts, data engineers, technology partners, and business ... Experience with Python, SQL, Spark, Databricks, Snowflake, Azure Synapse, Azure Data Factory, or ...

Deloitte

Cyber - SecOps - Consultant

Minneapolis, MN · On-site

... data engineering, and AI-enabled capabilities. You will work with leading technologies and help ... Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk ...

VAA

Entry-Level Structural Engineer (Hybrid)

Minneapolis, MN · Hybrid

$69K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Entry-Level Structural Engineer (Hybrid) Our growing firm is looking for passionate problem-solvers ... data, geographic location, experience, and specialized skills. Benefits: Health, dental, vison ...

VAA

Entry-Level Structural Engineer (Hybrid)

Minneapolis, MN · On-site

$69K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Entry-Level Structural Engineer (Hybrid) Our growing firm is looking for passionate problem-solvers ... data, geographic location, experience, and specialized skills. Benefits: Health, dental, vison ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Participates and leads phases of the data science process, from data exploration and processing ... as Azure HDInsight, Databricks and Azure Datafactory. All experience may have been gained ...

Performix

Azure Database Architect (Remote)

Saint Paul, MN · Remote

$64.50 - $82.75/hr

\n \n \n As an Azure Database Engineer, this position will participate in the analysis, design ... data lakes and relational and non\-relational databases in Azure. Experience with Databricks.

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Participates and leads phases of the data science process, from data exploration and processing ... as Azure HDInsight, Databricks and Azure Datafactory. All experience may have been gained ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Participates and leads phases of the data science process, from data exploration and processing ... as Azure HDInsight, Databricks and Azure Datafactory. All experience may have been gained ...

Omm IT Solutions

DL Engineer

Saint Paul, MN · On-site +1

This position also will provide mentorship to other Database Engineers. \n \n \n \n \n \n SAMPLE ... data lakes and relational and non\-relational databases in Azure. \n * Experience with Databricks ...

Barr

Civil Engineer - Entry Level (Hybrid)

Minneapolis, MN · Hybrid

$70K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Technical analysis: performing calculations, conducting data analysis, and compiling technical ... Education: bachelor's degree in civil engineering. * Software: familiarity with AutoCAD and Civil ...

New

Boston Scientific

Systems Engineer I

Maple Grove, MN · Hybrid

This entry-level engineering role will have a strong emphasis on system-level testing and ... Collect, process, analyze, and document test data to evaluate system performance. * Identify ...

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All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Minneapolis, MN

Entry Level Databricks Data Engineer information

See Minneapolis, MN salary details

$31.3K

$72.4K

$123.2K

How much do entry level databricks data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level databricks data engineer in Minneapolis, MN is $72,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

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

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What are the most commonly searched types of Databricks Data Engineer jobs in Minneapolis, MN?

The most popular types of Databricks Data Engineer jobs in Minneapolis, MN are:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in Minneapolis, MN?

For Entry Level Databricks Data Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Minneapolis, MN are:

Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Minneapolis, MN as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, 27% Hybrid, and 27% Remote job distribution, with an average salary of $72,400 per year, or $34.8 per hour.

Utility Data and Modeling Analyst

HDR

Saint Louis Park, MN • On-site

Full-time

Re-posted 25 days ago

HDR rating

9.2

Company rating: 9.2 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

33rd of 449 rated engineering

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story'
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
We believe water is more than a resource, it's a shared responsibility. As part of our Water Business Group, you'll help shape how communities manage water for generations to come. From delivering safe drinking water and treating wastewater responsibly to developing sustainable water supplies and protecting lives and property through flood control, your work will directly support public health, environmental sustainability, and infrastructure resilience. We bring together experts across disciplines to solve complex challenges with bold thinking and technical excellence. Whether you're modernizing aging systems or pioneering innovative approaches, your contributions will make a meaningful difference in people's lives. This isn't just a job, it's a chance to lead change, drive progress, and leave a lasting legacy.
About the Role
HDR is seeking an entry-level Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing data-driven utility planning.
Key Responsibilities:
Hydraulic Modeling & System Analysis
  • Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, as-built drawings, and field data.
  • Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments.
  • Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro.

Data Engineering, Analytics & Visualization
  • Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records.
  • Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations.
  • Support database management, data structuring, and creation of modeling-ready datasets to improve study reliability and documentation.
  • Handle highly sensitive and confidential information with professionalism and discretion
  • Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
  • Develop data products including reports, visualizations, and dashboards
  • Adhere to software and data science development standards
  • Perform data acquisition, sourcing, cleaning and exploratory data analysis (EDA)
  • Transform raw data into usable attributes for machine learning modules through feature engineering
  • Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference.
  • Create automated data pipelines and data engineering solutions
  • Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
  • Tune models with training, hyperparameters with comprehensive validation and testing processes

Asset Management & Capital Planning
  • Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning.
  • Assist in preparing asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision-support exhibits.
  • Integrate asset, condition, and geospatial data to support long-term strategic planning for utility infrastructure.

Utility Planning, Policy Analysis & Technical Reporting
  • Support development of technical reports, planning documents, regulatory analyses, and client presentations.
  • Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems.
  • Leverage predictive models to optimize business results
  • Contribute to studies involving financial planning, rate evaluation, and long-range system needs assessment.

Professional Collaboration
  • Actively participate in HDR's employee-owned, collaborative culture by working closely with multidisciplinary teams including engineers, planners, analysts, and project managers.
  • Communicate findings through written reports, visualizations, engineering graphics, and presentations.
  • Maintain high standards of quality control, documentation, and analytical accuracy.

Preferred Qualifications
  • Bachelor's Degree
  • A minimum of 3 years experience in a data science role
  • Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines.
  • Familiarity with or academic exposure to hydraulic modeling concepts or tools.
  • Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online.
  • Oracle Spatial or SQL Server Spatial back-end data processing experience
  • Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning.
  • Interest in environmental regulations and policy frameworks related to water and wastewater utilities.

#LI-EV1
Qualifications
Required Qualifications
  • A degree in a closely related field or combination of education and relevant experience
  • A minimum of 3 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas
  • A minimum of 3 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
  • A minimum of 3 years experience with data science languages such as Python and R
  • Self-motivated, detail-oriented professional, ability to multitask a must
  • Proficiency with MS Office including Word and Outlook
  • Ability to handle confidential information
  • Excellent writing and people skills
  • Strong math and organizational skills
  • Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
  • Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must
  • In-depth knowledge of machine learning algorithms, statistical models, and data analytics
  • Experience completing multiple data science projects

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

HDR logo

About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917

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