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Full Stack Data Engineer Jobs in Minnesota (NOW HIRING)

GDIT

Full Stack Engineer-Junior

Rochester, MN · Hybrid

$102K - $138K/yr

MEANINGFUL WORK AND PERSONAL IMPACT The Full Stack Engineer/Developer-Junior will support the IDST ... Support development of backend services for data ingestion and retrieval, and help build APIs and ...

TriOptus LLC

Full Stack Developer IV

Minneapolis, MN · On-site

You will work closely with our product partners to engineer solutions and implement them. You will ... data fetching and state management. • Deliver high-value code from ideation to production ...

Perrill

Full Stack WordPress Developer

Minnetonka, MN · On-site

$80K - $100K/yr

Full Stack WordPress Developer Location: Hybrid - Preference for candidates in the Twin Cities Salary: $80,000-$100,000, depending on experience Department: Development About Us Perrill is an award ...

Lancesoft

Full Stack Developer

Richfield, MN · On-site

$80 - $90/hr

We are looking for an experienced mobile and web full stack developer to join the Price Experience Team at client. We are a team of Front End, Back End, and Full Stack Engineers in an exciting space ...

Navtech, Inc.

Sr Java Full Stack Developer

Richfield, MN · On-site

$54.75 - $70.75/hr

I have an opportunity for "Sr java Full Stack Developer" - (Richfield, MN- REMOTE till COVID). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your ...

CrashPlan

Full-Stack Software Engineer

Minneapolis, MN · On-site +1

$105K - $120K/yr

CrashPlan ® provides cyber-ready data resilience and governance in a single platform for ... We are recruiting for a Full-Stack Software Engineer to join our team. In this role, you will be ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Minnesota

Full Stack Data Engineer information

See Minnesota salary details

$43.6K

$132K

$186.6K

How much do full stack data engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for full stack data engineer in Minnesota is $131,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $154,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in Minnesota? For Full Stack Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Minnesota look for? The top searched job categories for Full Stack Data Engineer jobs in Minnesota are:
Full Stack Data Engineer jobs near you

Full Stack Engineer, Principal

Blue Shield of CA

Minneapolis, MN

Other

Posted 13 days ago

Job description

Your Role

As a Full Stack Engineer in the healthcare space, you'll architect seamless, missioncritical applications that clinicians and patients depend on. From polished interfaces to highperformance backends, you'll shape technology that improves care delivery and enhances lives.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

  • 10+ years of experience in full stack development
  • BA/BS in Computer Science or equivalent
  • Proficiency in modern front-end frameworks (React, Vue, Angular or similar) and JavaScript/TypeScript
  • Experience building backend services and APIs using .NET, Java, Node.js, Python, or similar technologies
  • Strong knowledge of SQL (e.g., MS SQL Server, Oracle) and/or NoSQL databases and RESTful integrations
  • Experience developing cloud-native applications (Azure preferred; AWS/GCP acceptable)
  • Experience with containerization (e.g., Docker)
  • Familiarity using Infrastructure as Code (e.g., Ansible, Bicep, ARM, Terraform) to provision and manage cloud resources
  • Working knowledge of CI/CD pipelines and version control systems (e.g., GitHub, GitLab, Bitbucket)
  • Experience using AI-assisted coding tools in professional software development (e.g., GitHub Copilot, Cursor, Claude, or similar)
  • Experience working in regulated environments (e.g., healthcare) preferred
  • Familiarity with healthcare interoperability standards or enterprise healthcare platforms (e.g., Epic) preferred
  • End-to-end ownership mindset - thinks about UI, logic, and data as one cohesive system
  • Engineering pragmatism - balances ideal architecture with delivery speed and business value
  • AI-augmented builder - leverages AI tools effectively while maintaining strong engineering judgment
  • Effective collaboration with product, design, QA, security, and platform teams
  • Ability to operate in dynamic, evolving environments with shifting priorities
  • Clear communication of technical concepts to both technical and non-technical stakeholders

Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.

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