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Junior Data Engineering Jobs in Minnesota (NOW HIRING)

Indotronix International Corporation

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

... engineering standards, and ensure data quality and reliability across the platform - Guide and mentor junior and mid-level engineers through code reviews, technical support, and knowledge sharing ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

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

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

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 ...

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

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

$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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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 Jul 31, 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 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 key skills and qualifications needed to thrive as a Junior Data Engineer, and why are they important?

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 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 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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $70,321 per year, or $33.8 per hour.

Senior Data Scientist

Enable Data Incorporated

Minneapolis, MN • On-site

Full-time

Posted 4 days ago

Job description

Immediate Full-Time Position for Senior Data Scientist (This will be FTE only)

Design, develop, and deploy end-to-end AI/ML solutions for predictive modeling, risk stratification, behavioral analytics, and treatment pathway prediction.

Build advanced NLP, LLM, and RAG-based applications, including prompt engineering, fine-tuning, and clinical AI guardrails for extracting insights from unstructured data.

Develop speech AI and conversational AI capabilities using ASR, sentiment analysis, intent classification, Text-to-SQL, and decision-support models to improve care outcomes.

Measure model performance through A/B testing, cohort analysis, explainability (SHAP/LIME), drift monitoring, and HIPAA-compliant governance.

Collaborate with Data Engineering to implement feature stores, MLflow, MLOps, CI/CD pipelines, and scalable real-time/batch inference solutions.

Mentor junior data scientists, evaluate emerging AI technologies, and drive the AI roadmap by translating advanced models into actionable healthcare solutions.

Requirements

7+ years of hands-on data science experience building and deploying predictive analytics, NLP, and Generative AI solutions in production, preferably within healthcare or other regulated industries.

Proven expertise across the entire machine learning lifecycle, including feature engineering, model development, deployment, monitoring, and optimization.

Advanced Python skills with pandas, NumPy, scikit-learn, PyTorch, and TensorFlow, along with classical ML techniques such as XGBoost, LightGBM, survival analysis, time-series forecasting, and deep learning.

Strong experience with LLMs, RAG architectures, transformer models (BERT/GPT), Hugging Face, LangChain, vector databases, and LLM fine-tuning and evaluation.

Hands-on expertise with NLP, speech AI, Databricks (Delta Lake, MLflow, Spark), AWS (S3, SageMaker, Bedrock, Redshift, Athena), SQL, Docker, Kubernetes, and MLOps practices.

Demonstrated leadership through mentoring, cross-functional collaboration, and the ability to communicate complex AI/ML insights to technical and business stakeholders while driving innovation and best practices.

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