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Executive Startup Data Engineer Jobs in Foley, MN

Manufacturing Engineer (Plastics)

Clearwater, MN · On-site

$72K - $93K/yr

Ability to effectively manage large amounts of data, draw informed fact-based conclusions and make ... executive level. * Strong mechanical design skills. * Microsoft Office and other computer ...

Studies the test data and makes comparisons with similar designs. * Develops control systems and ... executive management teams. Our continued expansion of capabilities in South East Asia better ...

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Business Analyst

Becker, MN · On-site

$50K - $75K/yr

... data-driven decision-making. The ideal candidate understands the construction lifecycle--from ... Analyze revenue, margins, backlog, and production metrics to assist executive decision-making.

Prior experience in product management, engineering, or a fast-moving startup role is highly preferred * Strong product instincts: you think about users, flows, and edge cases naturally * Data ...

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Showing results 1-20

Executive Startup Data Engineer information

See Foley, MN salary details

$45K

$131.3K

$179.6K

How much do executive startup data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for executive startup data engineer in Foley, MN is $131,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $139,100.00 per year, depending on experience, location, and employer.

What is an executive startup data engineer?

Executive Startup Data Engineers are senior-level professionals who design, build, and oversee data systems and strategies within startup companies. They bridge the gap between technical data engineering and high-level business objectives, often leading small teams or entire data departments. Their responsibilities include developing data pipelines, ensuring data quality, and delivering insights that drive business growth. In a startup environment, they must be both hands-on and strategic, adapting quickly to evolving technical and business needs.

What are the key skills and qualifications needed to thrive as an executive startup data engineer?

To thrive as an Executive Startup Data Engineer, you need expertise in data architecture, advanced analytics, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (like AWS or Google Cloud), and relevant certifications are commonly expected. Leadership, strategic thinking, and effective communication are crucial soft skills for driving data initiatives and collaborating with cross-functional teams in a fast-paced environment. These skills and qualities are vital for building scalable data solutions that support business growth and innovation in a startup setting.

What are some unique challenges executive startup data engineers face when building data infrastructure in early-stage companies?

Executive Startup Data Engineers often encounter the challenge of building scalable and reliable data pipelines from scratch with limited resources and rapidly evolving business needs. They must balance hands-on technical implementation with strategic planning, frequently adapting solutions as product priorities shift. Collaboration with founders, product teams, and business stakeholders is crucial to ensure that data systems align with overall company goals. Additionally, they may be responsible for mentoring junior engineers and setting data governance practices that will scale as the company grows.

What is the difference between Executive Startup Data Engineer vs Data Engineer?

AspectExecutive Startup Data EngineerData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in data science, computer science, or related fields, with leadership experienceBachelor's or Master's in CS, data science, or related fields, with technical skills
Work EnvironmentStrategic role in startup leadership, involved in decision-making and high-level planningTechnical role focused on data pipeline development, maintenance, and optimization
Employer & Industry UsageFound in startup leadership teams, tech companies, and data-driven startupsCommon across tech, finance, healthcare, and other data-centric industries

The Executive Startup Data Engineer combines technical expertise with strategic leadership, often involved in guiding data initiatives at a high level. In contrast, a Data Engineer primarily focuses on building and maintaining data infrastructure. The executive role requires more experience, leadership skills, and a broader understanding of business goals, while the Data Engineer emphasizes technical proficiency and data management skills.

Infographic showing various Executive Startup Data Engineer job openings in Foley, MN as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $131,256 per year, or $63.1 per hour.

Product Manager @ Social app startup

Cheez

Saint Cloud, MN • On-site

Full-time

Re-posted 18 days ago


Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Minimum 2-3 years of experience in product management (or related role)

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture