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Full Stack Data Engineer Jobs in Minnesota (NOW HIRING)

ClifyX

Senior Full Stack AI Engineer

Minneapolis, MN · On-site

They are seeking a Senior Full Stack AI Engineer to design, build, and scale AI capabilities that ... data semantics • Reusable prompt and skill • Demonstrate measurable impact on research ...

Digital Mass Inc

Full Stack Developer

Minneapolis, MN · On-site

We are looking for an excellent Full-Stack Developer who we can show the Salesforce way. This position services client projects to ensure the technical needs meet expectations. As part of the ...

Affinity Plus

Senior Full Stack Developer

Saint Paul, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Senior Full Stack Developer partners with cross-functional teams and leadership to improve ... problems by analyzing data, identifying root causes, evaluating alternative options, and ...

Cognizant Technology Solutions

Data Engineer

Blaine, MN · On-site

$65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... full-stack AI solutions for our clients. Our deep industry, process and engineering expertise ...

Cognizant Technology Solutions

Data Engineer

Blaine, MN · On-site

$65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... full-stack AI solutions for our clients. Our deep industry, process and engineering expertise ...

8bitstudio

Full Stack Developer

Hutchinson, MN · On-site

The Full Stack Developer will collaborate with the creative team to develop new websites, maintain existing ones, and implement digital solutions using various web technologies. Responsibilities ...

Wipro Limited

Java Full Stack Developer

Minneapolis, MN · On-site

$80K - $158K/yr

  • Medical

  • Dental

  • PTO

Java Full Stack Developer City: Minneapolis State/Province: Minnesota Posting Start Date: 7/29/26 ... Skills- Spring Boot, Spring Integration, Spring Data, Swagger, Tomcat 8, Maven, Jenkins, SVN, Git ...

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Full Stack Data Engineer information

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$132K

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

As of Aug 19, 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 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.

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 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.

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 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:

What cities in Minnesota are hiring for Full Stack Data Engineer jobs?

Cities in Minnesota with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer 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 $131,996 per year, or $63.5 per hour.

Senior Full Stack AI Engineer

ClifyX

Minneapolis, MN • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
ClifyX is a company focused on advancing enterprise AI solutions. They are seeking a Senior Full Stack AI Engineer to design, build, and scale AI capabilities that enhance Portfolio Management and Research workflows.
Responsibilities:
• We are seeking a Senior AI Automation Engineer to mature and expand our enterprise AI Platform – AgentCore by designing, building, and scaling new AI driven capabilities that directly support Portfolio Management and Research workflows.
• This role will serve as a hands on technical leader responsible for operationalizing Anthropic Cloud Code and advanced Claude services (including Claude Interpreter) across the client—delivering secure, governed, and reusable AI components.
• The engineer will work closely with Portfolio Managers, Research Analysts, and Quant teams to translate high value investment use cases into production grade agentic solutions deployed on AgentCore.
• Design agentic workflows and multi agent orchestration patterns using approved AgentCore frameworks and runtimes.
• Build AI capabilities that leverage:
• Tool calling
• Retrieval augmented generation (RAG)
• Structured data semantics
• Reusable prompt and skill
• Demonstrate measurable impact on research productivity, decision velocity, and analytical depth.
• Support adoption via reference implementations, documentation, and enablement materials.
• Provide architectural guidance to teams building on AgentCore to prevent fragmentation and 'shadow AI.'
• Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).
• Establish reusable AI components, frameworks, and guardrails for product and engineering teams.
• Enable adoption through reference architectures, implementation patterns, and developer enablement.
• Identify and quantify productivity, quality, and cycle time improvements driven by AI.
• Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.
• Support executive visibility into AI driven outcomes and maturity progress.
Qualifications:
Required:
• 8+ years of experience in software engineering, automation, or platform engineering roles.
• Proven hands-on experience implementing LLM based or agentic AI solutions in enterprise environments.
• Demonstrated expertise with Anthropic Cloud Code and advanced Claude services (including interpreter style workflows).
• Strong understanding of agent architectures, tool orchestration, and secure AI platform design.
• Experience working with investment, research, or Portfolio Management business users.
• Proficiency in Python and modern cloud native development patterns.
• Experience building AI platforms or shared AI services in financial services or regulated environments.
• Familiarity with portfolio management, investment research, or quantitative analytics workflows.
• Experience integrating AI solutions with enterprise data platforms and analytics stacks.
• Exposure to Responsible AI frameworks, model governance, and audit requirements.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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