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Founding Data Engineer Jobs in Minnesota (NOW HIRING)

Northmarq

Data Business Analyst

Minneapolis, MN · On-site

... such as Azure DevOps, Asana, Agile, or similar frameworks. Preferred : • Salesforce.com is ... As a company built on the founding principle of integrity, we're invested in your success. Founded ...

SmartThings

Sr Staff Software Engineer

Minneapolis, MN · On-site

As a founding member of Matter, we are a leader in the industry to help make smart homes more ... Drive the adoption of Model Context Protocol (MCP) to bridge the gap between our cloud data silos ...

SmartThings

Sr Staff Software Engineer

Minneapolis, MN · On-site +1

As a founding member of Matter, we are a leader in the industry to help make smart homes more ... Drive the adoption of Model Context Protocol (MCP) to bridge the gap between our cloud data silos ...

SmartThings

Sr Staff Software Engineer

Minneapolis, MN · On-site +1

As a founding member of Matter, we are a leader in the industry to help make smart homes more ... Drive the adoption of Model Context Protocol (MCP) to bridge the gap between our cloud data silos ...

Black Box Corporation

Field Engineer

Rosemount, MN

Since our founding, Black Box has been driven by its passion for social responsibility to ... Must be proficient and well-practiced in leveraging information and data in making informed ...

New

Black Box

Field Engineer

Rosemount, MN · On-site

Since our founding, Black Box has been driven by its passion for social responsibility to ... Must be proficient and well-practiced in leveraging information and data in making informed ...

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Founding Data Engineer information

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 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 Founding Data Engineers?

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 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
Data Business Analyst

Data Business Analyst

Northmarq

Minneapolis, MN • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
Northmarq is a unique capital markets resource for commercial real estate investors, and they are seeking a Data Business Analyst to support their national platform. This role will lead and coordinate data integrity initiatives, manage cross-functional projects, and ensure the timely execution of data-related deliverables.
Responsibilities:
• Lead cross-functional projects involving Data Management, IT, and business teams, ensuring alignment with organizational goals and priorities.
• Plan, organize, and manage data-related projects, including data migration, cleansing, and integration initiatives, ensuring timely completion and alignment with business goals.
• Serve as the primary liaison between Data Management, IT, and business teams to define project scope, timelines, and deliverables.
• Identify opportunities to streamline data workflows and implement best practices for Salesforce data governance and quality assurance.
• Monitor and maintain Salesforce data accuracy through routine audits, cleansing, and validation processes.
• Develop and deliver ad hoc reports, dashboards, and project status updates to stakeholders.
• Manage helpdesk requests related to data updates, record merging, and troubleshooting, ensuring timely resolution.
• Create and maintain project documentation, including process maps, timelines, and status reports.
Qualifications:
Required:
• Bachelor’s Degree preferred, or equivalent experience in data management and project coordination.
• 3–5 years of experience in data management, operations, or business analysis with demonstrated project management responsibilities.
• Advanced Excel skills (formulas, vlookups, pivot tables, macros).
• Strong organizational and time-management skills with the ability to manage multiple projects and meet tight deadlines.
• Excellent communication and stakeholder management skills.
• Ability to work independently, solve problems, and adapt to changing priorities.
• Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or similar frameworks.
Preferred:
• Salesforce.com is preferred but not required; familiarity with CRM systems is a plus.
• Experience in commercial real estate preferred but not required.
Company:
As a company built on the founding principle of integrity, we’re invested in your success. Founded in 1960, the company is headquartered in Minneapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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