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Founding Data Engineer Jobs in Minnesota (NOW HIRING)

JonnyPops, LLC

Sr. Software Engineer

Plymouth, MN · On-site

$135 - $170/hr

The Senior Software Engineer is a founding technical member of that team. You will not just write ... Advance the data foundation for AI‑Native work: help harmonize data sources and permission ...

JonnyPops

Sr. Software Engineer

Minneapolis, MN · On-site

$135K - $170K/yr

The Senior Software Engineer is a founding technical member of that team. You will not just write ... Advance the data foundation for AI-Native work: help harmonize data sources and permission ...

JonnyPops

Sr. Software Engineer

Plymouth, MN · On-site

$135K - $170K/yr

The Senior Software Engineer is a founding technical member of that team. You will not just write ... Advance the data foundation for AI-Native work: help harmonize data sources and permission ...

JonnyPops, LLC

Software Engineer

Plymouth, MN · On-site

$90 - $115/hr

The Senior Software Engineer is a founding technical member of that team. You will not just write ... Build and maintain API connections, webhooks, and data flows that let AI‑Native solutions ...

JonnyPops

Software Engineer

Plymouth, MN · On-site

The Senior Software Engineer is a founding technical member of that team. You will not just write ... Build and maintain API connections, webhooks, and data flows that let AI-Native solutions interact ...

Finch

Software Engineer

Plymouth, MN · On-site

$90 - $115/hr

The Senior Software Engineer is a founding technical member of that team. You will not just write ... Build and maintain API connections, webhooks, and data flows that let AI‑Native solutions ...

Knobelsdorff Enterprises

Structural Engineer

Goodhue, MN · On-site

$80K - $120K/yr

Since our founding as a family-owned company in 1988, we've grown while staying true to our core ... Generate test plans, compile data, and write reports as part of engineering projects and studies.

Knobelsdorff Enterprises

Structural Engineer

Goodhue, MN · On-site +1

$80K - $120K/yr

Since our founding as a family-owned company in 1988, we've grown while staying true to our core ... Generate test plans, compile data, and write reports as part of engineering projects and studies.

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Founding Data Engineer information

What is a founding data engineer?

Founding Data Engineers are among the first technical hires at a startup, responsible for designing, building, and scaling the company's data infrastructure from the ground up. They work closely with founders and early team members to define data architecture, set up data pipelines, and ensure data quality and accessibility for product development and business insights. This role often requires a blend of software engineering, data modeling, and strategic decision-making skills, as well as the flexibility to adapt to rapidly changing priorities in a startup environment.

What are the unique challenges and opportunities of being a founding data engineer at an early-stage startup?

As a Founding Data Engineer, you'll face the challenge of building data infrastructure from scratch, often with limited resources and evolving requirements. You’ll work closely with founders and cross-functional teams to define data strategies, implement pipelines, and ensure data quality. This role offers significant influence over technical decisions and architecture, and you'll likely wear multiple hats, contributing to both backend engineering and data analytics. The fast-paced environment fosters rapid skill development and provides substantial opportunities for career growth as the company scales.

What are the key skills and qualifications needed to thrive as a founding data engineer, and why are they important?

To thrive as a Founding Data Engineer, you need strong expertise in data architecture, database design, and software engineering, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or GCP), ETL frameworks, programming languages (such as Python or Scala), and data warehousing tools is typically required. Exceptional problem-solving, adaptability, and collaboration skills set standout candidates apart in this role. These abilities are crucial for building scalable data systems and shaping the technical foundation of an early-stage company.

What is the difference between Founding Data Engineer vs Data Engineer?

AspectFounding Data EngineerData Engineer
Required CredentialsBachelor's or higher in CS, experience in startup environmentsBachelor's or higher in CS, relevant data tools experience
Work EnvironmentEarly-stage startups, high flexibility, broad responsibilitiesEstablished companies, specialized roles, structured teams
Employer & Industry UsageFounding teams, startups, tech companiesTech firms, finance, healthcare, large organizations
Search & Comparison IntentUnderstanding startup data roles, early-stage responsibilitiesStandard data engineering roles, career progression

The main difference between a Founding Data Engineer and a Data Engineer lies in their work environment and responsibilities. Founding Data Engineers typically work in startups, handling broad tasks and building data infrastructure from scratch, while Data Engineers in established companies focus on specific data pipelines within structured teams. Both roles require similar technical skills and educational backgrounds, but their scope and context differ significantly.

What are popular job titles related to Founding Data Engineer jobs in Minnesota?

For Founding Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Founding Data Engineer jobs in Minnesota look for?

The top searched job categories for Founding Data Engineer jobs in Minnesota are:

Founding Data Engineer jobs near you

Sr Data & Insights Analyst - Data Operations

Minneapolis, MN • On-site

MoneyGram
Finance and Insurance • 1 - 5K employees
Learn more about MoneyGramexternal

$120K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

At MoneyGram, we're combining the strength of a trusted global brand with the agility of a tech-forward, growth driven culture. With 80+ years of experience and a presence in more than 200 countries and territories, we've built a foundation of stability and trust to help millions of people around the world send funds quickly, securely, and affordably.
We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast.
If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money.
We are seeking a versatile product analytics team member to support our growing product and engineering teams. In this role, you will help drive rapid, data-driven insights to inform product decisions around experiments, features, and product direction related to our core money transfer digital product. This is a full-time remote position open to candidates based in the US, offering the opportunity to work globally and influence product strategy across multiple areas of MoneyGram's product and technology offerings.
MoneyGram is in a period of rapid transformation through its re-founding. Examples of companies who successfully re-founded themselves are Microsoft, Apple, and Uber. We are looking for re-founders who can step into MoneyGram and help drive a fundamental reinvention of our strategy, culture, and ways of working while staying true to our mission. MoneyGram is a PE-backed private company building towards a near-term IPO.
What you will get to do as Senior, Data Analyst - Product Analytics
  • Analytics Re-Invention: AI has become the fundamental building block of many new platforms built in the last few years. You are willing to go beyond anything you've ever done before and rethink analytics from the ground up. "It's been done this way before" is not a benefit, but a defect.
  • Customer Experience and Product Performance: Craft and evolve the view of the customer experience through analytics and product metrics.
  • Experimentation & Optimization: Support and guide experimental frameworks (A/B tests, holdouts, geo testing, etc.) to measure the incremental impact of product presentation and feature releases. Partner with product and engineering to design data-driven insights that accelerate performance and growth. Provide stakeholders with the ability to measure the success of feature or functionality rollouts by pulling and organizing data into cohorts and measuring metrics based on cohort performance.
  • Insights & Reporting: Analyze and develop key insights into partner and customer behaviors and pain points to uncover opportunities for an improved experience.
  • Cross-Functional Collaboration: Collaborate closely with cross-functional teams - from Product, Sales, Marketing, Finance, and Regional/International teams - to align analytics initiatives with business goals. Use data to advise on go-to-market strategies for new product launches and to identify new growth opportunities and solutions to business challenges.
  • Technology & Automation: Champion best-in-class analytics tools and processes. Work with Product, Engineering, and Data Engineering to implement and leverage analytics platforms (BI tools, tag management, automation via APIs) that enhance product efficiency and scale. Stay abreast of industry trends and emerging technologies in product analytics, continuously seeking opportunities to improve our capabilities and methodologies.

What you will need to be successful
  • Product Analytics Expertise: 3-5+ years of experience in analytics or a related quantitative field, with meaningful focus on product analytics in a B2C or technology-driven company. Demonstrated ability to drive insights that directly inform product strategy and user experience.
  • Technical Skills: Strong hands-on skills in data analysis. Proficiency in SQL for querying and manipulating large datasets. Familiarity with analytics programming is a plus.
  • Data Visualization Skills: Strong experience with business intelligence and data visualization tools; Looker preferred, or similar BI platforms.
  • Data-Driven Mindset: Analytical thinker with an understanding of experiment design. Able to uncover insights from data and translate them into actionable recommendations and measurable results.
  • Communication & Influence: Excellent communication and interpersonal skills. Ability to distill technically complex data findings into clear, compelling narratives for both technical and non-technical audiences. Skilled at visual representation of insights, documenting, and presenting findings to stakeholders.
  • Cross-Functional Collaboration: Comfortable working cross-functionally and with stakeholders across the organization. Ability to build strong relationships with team members and technical partners and advise or partner with colleagues across varying backgrounds.
  • High-Growth & Global Experience: Thrives in a fast-paced, high-growth, and ambiguous environment. Global experience and the ability to shape insights for a global audience is highly valued.
  • Industry Background: Experience in direct-to-consumer online businesses is preferred; fintech or financial services experience is a strong. A passion for evolving products and using data to enhance the customer experience is essential.
  • Education: Bachelor's or equivalent practical experience in analytics. An advanced degree or relevant industry certifications in analytics is a bonus.

Join us to shape a data-driven product strategy and drive efficient, rapid growth at scale. If you are excited about building a world-class product analytics function and unlocking new growth opportunities with data, we'd love to hear from you.
The salary/pay rate listed below is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on the company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, and/or skill level.
Here Are Some Reasons You Will Love Working At MoneyGram!
  • Remote first flexibility
  • Generous PTO
  • 13 Paid Holidays
  • Medical / Dental / Vision Insurance
  • Life, Disability, and other benefits
  • 401k with competitive Employer Match
  • Community Service Days
  • Generous Parental Leave

MoneyGram does not sponsor US work authorizations for this job position including H-1Bs, O-1, and TN. MoneyGram also does not hire F-1s working on EAD for this position.
About MoneyGram
MoneyGram is a global payments network built to move money across borders with speed, simplicity and trust. Its omnichannel platform empowers consumers, developers and agents to transfer cash, fiat and stablecoin however it works best for them.
The company serves over 50 million customers a year across 200+ countries and territories, nearly half a million retail locations and a rapidly expanding digital ecosystem reaching billions of devices. As one of the most recognized and trusted names in global payments, MoneyGram continues to reinvent how money moves - helping people around the world support their loved ones and build better futures.
MoneyGram is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.

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