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Full Stack Data Engineer Jobs in Minnesota (NOW HIRING)

AllSTEM Connections

Developer III

Minneapolis, MN · On-site

$199K/yr

Senior Full Stack Data Engineer (Foundry + React) Role Overview We are seeking a Senior Full Stack Data Engineer to lead the development of a mission-critical compliance reporting platform. This is a ...

Shutterfly

Principal Data Engineer

Eden Prairie, MN

$116K - $140K/yr

Own & build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions for the Data Pipelines & Data Mart encompassing the Data Warehouse * Provide technical leadership ...

Shutterfly

Principal Data Engineer

Eden Prairie, MN

$116K - $140K/yr

Own & build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions for the Data Pipelines & Data Mart encompassing the Data Warehouse * Provide technical leadership ...

Ubertal Inc

Full-Stack Developer

Roseville, MN · On-site

Full-Stack Developer Location: Roseville, MN Engagement Type: Contract Work Mode: Hybrid (Onsite two days per week) Duration: December 1, 2025 - June 30, 2026 (7 months) Interview Type: Microsoft ...

Da Vinci Software

.Net Full Stack Developer

MN · Remote

NET we developer. They will be responsible for full stack development and automation test ... These applications leverage cloud computing, big data, mobile, data science, data warehousing ...

GDIT

Full Stack Engineer, Mid

Rochester, MN · Hybrid

$140K - $189K/yr

Skills: Back-End Development, Data Ingestion, Flask (Web Framework), Python (Programming Language ... MEANINGFUL WORK AND PERSONAL IMPACT The Full Stack Engineer/Developer-mid will support Special ...

Da Vinci Software

.Net Full Stack Developer

MN · On-site +1

NET we developer. They will be responsible for full stack development and automation test ... These applications leverage cloud computing, big data, mobile, data science, data warehousing ...

Mindlance

Java Full Stack Developer

Hopkins, MN · Hybrid

$53.50 - $69/hr

Senior Java Full Stack Developer (Java | React) Location: Hopkins, MN - Hybrid (3 Days Onsite ... Analyze and fix application and data-related issues. * Design, develop, test, and implement ...

Pi Square Technologies LLC

Java Full Stack

Minneapolis, MN · On-site

$54.75 - $70.75/hr

Java Full Stack Summary We are seeking a full-stack engineer skilled in Python and Java (Spring ... Data & Infrastructure * Vector DBs, PostgreSQL/MySQL, Redis. * Cloud & DevOps: Docker, Kubernetes ...

CrashPlan

Full-Stack Software Engineer

Minneapolis, MN · On-site +1

We are recruiting for a Full-Stack Software Engineer to join our team. In this role, you will be ... built data storage engine and platform. This product is the heart of the CrashPlan business and ...

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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 21, 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
Developer III

Developer III

AllSTEM Connections

Minneapolis, MN • On-site

$199K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 2 days ago

Job description

Senior Full Stack Data Engineer (Foundry + React)
Role Overview
We are seeking a Senior Full Stack Data Engineer to lead the development of a mission-critical compliance reporting platform. This is a unique "bridge" role where you will be responsible for the entire data lifecycle-from architecting backend datasets to building sophisticated, user-facing frontend components.
The ideal candidate thrives in environments where data integrity is paramount. You will build auditable, intuitive reporting experiences that translate complex data into actionable insights for compliance and audit stakeholders.
Core Responsibilities
• Backend Engineering: Build and maintain robust datasets and complex transformations within a Palantir Foundry ecosystem.
• Frontend Development: Architect and develop responsive UI components using React and TypeScript to visualize compliance workflows.
• Systems Integration: Seamlessly integrate backend data structures with frontend views to ensure a high-performance, data-driven user experience.
• Audit & Compliance focus: Design UI/UX workflows specifically tailored for transparency, auditability, and regulatory rigor.
• Stakeholder Collaboration: Partner with Subject Matter Experts (SMEs) and data engineers to align technical outputs with strict compliance expectations.
Technical Requirements
The Essentials:
• Languages: Advanced proficiency in Python and SQL.
• Frontend Mastery: Significant professional experience with React and TypeScript.
• Application Building: Proven track record of building end-to-end, data-driven applications.
• Seniority: Experience operating at a Level V (Senior/Staff) capacity, capable of making architectural decisions.
Highly Desired (The "Plus" Factors):
• Direct experience with Palantir Foundry.
• Familiarity with Foundry Workshop or Ontology-based UIs.
• Background in supporting audit-driven reporting or highly regulated industries (e.g., Utilities, Finance, or Infrastructure).
• Experience building internal platforms or specialized compliance tools. Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

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