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Junior Data Engineering Jobs in Minnesota (NOW HIRING)

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Additionally, candidate should be capable of leading and mentoring more junior data scientists ... Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring ...

UnitedHealth Group

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

Lead endtoend data engineering efforts, ensuring reliability, performance, and costefficient data systems * Mentor and guide junior and senior data engineers, fostering a culture of technical ...

Palomar Holdings, Inc.

Sr. Data Engineer

Edina, MN · On-site

$118K - $142K/yr

Mentor and guide junior team members. * Documentation & Standards : Establish and maintain comprehensive documentation and promote engineering best practices across the team. * Innovation : Evaluate ...

New

divvyDOSE

Associate Data | , Minnesota

Minnetonka, MN · On-site

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with cross functional teams (analytics, product, engineering, business ...

UMR

Associate Data | , Minnesota

Minnetonka, MN · On-site

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with cross functional teams (analytics, product, engineering, business ...

Jobtailor

Data Architect

Virginia, MN · On-site

$140 - $210/hr

Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational ... Mentor junior architects and engineers while providing technical leadership across engagements ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business ... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for ...

Thomson Reuters U.S. Inc.

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business ... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Genesis10

Principal Data Engineer - Remote

Eagan, MN · On-site

$120 - $150/hr

Join a highly collaborative engineering team that is building next-generation cloud data platforms ... 10 junior and mid-level engineers Lead by example through hands-on software development while ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Minnesota

Junior Data Engineering information

See Minnesota salary details

$32.8K

$70.3K

$107.2K

How much do junior data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior data engineering in Minnesota is $70,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $78,400.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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 Junior Data Engineering jobs in Minnesota?

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

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

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

What cities in Minnesota are hiring for Junior Data Engineering jobs?

Cities in Minnesota with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $70,321 per year, or $33.8 per hour.

Senior Data Scientist

Team Velocity Marketing

Virginia, MN • On-site

$160 - $220/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics, and AI‑driven solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver production‑ready AI solutions.

Key Responsibilities
  • Design, build, train, evaluate, and deploy machine learning models.
  • Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis.
  • Build feature engineering and model training pipelines.
  • Deploy and monitor production ML models, including model drift detection and retraining.
  • Collaborate with Product, Engineering, Analytics, and executive leadership.
  • Mentor junior data scientists and establish best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Master's or PhD preferred.
  • 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact.
  • Strong communication and business problem-solving skills.
Technical Skills
  • Expert Python and SQL
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
  • Snowflake, Matillion, dbt, Pandas, Spark, Airflow
  • Cloud: Google Cloud (preferred), AWS, or Azure
  • Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks
  • LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases
Preferred Experience
  • Marketing analytics and personalization
  • Automotive or SaaS industry experience
  • Real‑time inference and streaming platforms
Success Metrics
  • Deliver production‑ready ML models with measurable business impact
  • Improve prediction accuracy and operational efficiency
  • Implement model monitoring and retraining
  • Mentor team members and establish Data Science best practices
  • Contribute to team capability growth through documentation, code review standards, and mentorship outcomes that raise the overall quality of the Data Science function
Compensation

Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $160,000-$220,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.

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