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Full Stack Data Engineer Jobs in Rochester, MN (NOW HIRING)

GDIT

Network Engineer Senior

Rochester, MN

$107K - $141K/yr

Provide tactical data link expertise to support joint, coalition, and mission partner ... Full-flex work week to own your priorities at work and at home, when eligible and approved. * 401K ...

GDIT

Network Engineer Senior

Rochester, MN

$107K - $141K/yr

Provide tactical data link expertise to support joint, coalition, and mission partner ... Full-flex work week to own your priorities at work and at home, when eligible and approved. * 401K ...

GDIT

CDS Network Engineer

Rochester, MN

$106K - $143K/yr

Designs, plans, and builds data center communications networks. Configures routers and switches ... To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a ...

Benchmark

Quality Engineer III

Rochester, MN · On-site

$90K - $114K/yr

We prioritize career growth, fostering a culture that ensures you reach your full potential. At ... contract data item descriptions and requirements and assist with establishing the necessary ...

FocusKPI

Marketing Operations Analyst

Rochester, MN · On-site

... stack. Responsibilities: * Audience Targeting: Develop and implement audience segmentation ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

Benchmark

Sustaining Test Engineer I

Rochester, MN · On-site

$70K - $80K/yr

We prioritize career growth, fostering a culture that ensures you reach your full potential. At ... incumbent data, and other business needs. Benefits and Other Compensation: Benchmark provides a ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Rochester, MN

Full Stack Data Engineer information

See Rochester, MN salary details

$45.2K

$137K

$193.6K

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

As of Jul 30, 2026, the average yearly pay for full stack data engineer in Rochester, MN is $136,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $160,600.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 Rochester, MN? For Full Stack Data Engineer jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Rochester, MN look for? The top searched job categories for Full Stack Data Engineer jobs in Rochester, MN are:
Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Rochester, MN 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 $136,994 per year, or $65.9 per hour.

Full-Stack Engineer at early-stage consumer social app

Cheez

Rochester, MN • On-site

Full-time

Re-posted 8 days ago

Job description

Cheez (https://cheez.cc/wayupeng) is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

Responsibilities:

  • Collaborate with product and design teams (ex-Google/FB/Apple/Microsoft) to develop, test, and launch new features and improvements for our consumer social app.

  • Write clean, maintainable, and scalable code using modern web development technologies and best practices.

  • Develop and maintain both front-end and back-end components, ensuring seamless integration and optimal performance.

  • Troubleshoot and debug issues, implement fixes, and optimize application performance.

  • Participate in code reviews, provide constructive feedback, and contribute to a positive team culture.

  • Stay up-to-date with emerging technologies, industry trends, and best practices to continuously improve our product and development processes.

  • Contribute to our agile development methodology, attending daily stand-ups, sprint planning, and retrospective meetings.

  • Minimum 2-3 years of software engineering experience

  • Have built mobile apps (and/or web apps) full-stack before

  • Enthusiastic about photo sharing and/or AI and/or social media

Apply