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Marketing Data Engineer Jobs in Minnesota (NOW HIRING)

Bold Orange Company, LLC

Software Engineer, Data

Minneapolis, MN · On-site

$85K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is a hands-on, data-focused engineering role centered on Snowflake. You'll design data models ... Exposure to HubSpot CMS, APIs, or marketing automation platforms * Familiarity with IIS, .NET ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD ... engineering, model construction, and validation Build and validate predictive models using ...

Thomson Reuters

Sr Director, AI Transformation

Eagan, MN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Delivering the strategy also depends on Teams you do not own, including engineering and data ... It is complete marketer workflows that work, from brief through content through channel, a ...

THOMSON REUTERS

Sr Director, AI Transformation

Eagan, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Delivering the strategy also depends on Teams you do not own, including engineering and data ... It is complete marketer workflows that work, from brief through content through channel, a ...

Team Velocity Marketing

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver ...

New

Wells Fargo

Data Product Management Senior Manager

Minneapolis, MN · On-site

$132K - $174K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... marketing data products and platforms, including the Enterprise Consent Engine, Offer Management ... Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Engineering ...

Cargill

Corporate Strategy Senior Associate

Wayzata, MN · On-site

$160K/yr

Master's degree in Marketing, Data Analytics, Engineering, Mathematics or a related quantitative field and 2 years of related work experience in the food and agriculture industry; OR Bachelor ...

Cargill

Corporate Strategy Senior Associate

Wayzata, MN · On-site

$160K/yr

Master's degree in Marketing, Data Analytics, Engineering, Mathematics or a related quantitative field and 2 years of related work experience in the food and agriculture industry; OR Bachelor ...

DeFiner Inc

* Work closely with engineering and marketing teams to identify and answer important product ... Collaborate closely with data analysts, data engineers, and business and project stakeholders to ...

Ovative group

Data & Software Engineer

Minneapolis, MN

$119K - $143K/yr

  • Medical

  • Retirement

  • PTO

Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying ... We are seeking a Data & Software Engineer to join our rapidly growing product and engineering ...

3M

Data Center Vertical Marketing Manager

Maplewood, MN · On-site

$171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Center Vertical Marketing Manager Collaborate with Innovative 3Mers Around the World Choosing ... Bachelor's degree or higher in Marketing, Business, Communications, Engineering (completed and ...

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Showing results 21-40

All JobsMarketing Data Engineer JobsMarketing Data Engineer Jobs in Minnesota

Marketing Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do marketing data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for marketing data engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is the difference between Marketing Data Engineer vs Data Analyst?

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What is a marketing data engineer?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

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

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

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

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

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

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

Marketing Data Engineer jobs near you
Infographic showing various Marketing Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

Software Engineer, Data

Bold Orange Company, LLC

Minneapolis, MN • Remote

$85K - $130K/yr

Full-time

Re-posted 7 days ago

Job description

About Bold Orange: 

Bold Orange (BOCO) is a customer experience company. We believe authentic human connections are the single most important driver of business and societal progress. We exist to create these connections across the customer lifecycle, from acquisition to engagement to retention. Our culture is one of curiosity, collaboration, proactivity and always bringing the outside, future focused perspective to our clients. 
Position Summary:

We are looking for a Software Engineer, Data to join our growing technology team. This is a hands-on, data-focused engineering role centered on Snowflake. You’ll design data models, build and optimize pipelines, and turn raw client data into reliable, well-governed analytics and activation platforms. You’ll pair that data work with back-end and DevOps engineering across multiple client engagements, collaborating closely with project managers, developers, and client stakeholders to deliver scalable, performant solutions. Snowflake powers a SaaS platform we operate and a growing share of our data work, and it’s where we’re investing to get stronger, so deep, demonstrable Snowflake expertise is the primary focus of this role. You may also work with Redshift and Databricks, which we use internally and on behalf of clients, but Snowflake is where we want this person to be strongest.

Duties and Responsibilites:
  • Architect, build, and maintain data models, warehouses, and ELT/ETL pipelines in Snowflake, optimizing for performance, scalability, and cost
  • Develop and tune complex SQL, stored procedures, and transformations in Snowflake and supporting relational databases (SQL Server, PostgreSQL)
  • Leverage native Snowflake capabilities such as Snowpipe, Streams & Tasks, dynamic tables, and external/stage integrations to deliver reliable, near-real-time data flows
  • Own Snowflake performance, governance, and cost management, including warehouse sizing, clustering, role-based access controls, and data security
  • Design, build, and maintain back-end APIs and services in Python and C#/.NET that feed and consume the Snowflake platform
  • Manage CI/CD pipelines and support deployment automation across cloud and on-premise environments
  • Configure and maintain infrastructure on Windows Server and Linux environments
  • Integrate third-party platforms and APIs (HubSpot, Azure DevOps, and others)
  • Troubleshoot production issues across a multi-client environment with professionalism and urgency
  • Contribute to technical documentation, architecture decisions, and code reviews
  • Collaborate with account managers and clients to scope, estimate, and deliver technical work
  • Mentor junior engineers and contribute to team best practices
Required Qualifications:
  • 4+ years of professional software engineering experience, with significant time spent in data engineering
  • Deep, hands-on Snowflake expertise: production experience designing data models and warehouses, building ELT/ETL pipelines, and writing performant SQL on the platform
  • Working knowledge of Snowflake performance tuning, cost optimization, and security/governance (warehouse sizing, clustering, RBAC)
  • Strong proficiency in Python and C# for back-end development
  • Hands-on experience with relational SQL databases (SQL Server, PostgreSQL, MySQL)
  • Proven experience building and consuming REST APIs
  • Practical DevOps experience: CI/CD pipelines, deployment automation, server configuration
  • Comfort working in both Windows Server and Linux environments
  • Ability to manage and context-switch across multiple concurrent client projects
  • Strong written and verbal communication skills, including technical communication with non-technical stakeholders
Preferred Qualifications:
  • Active SnowPro certification(s): SnowPro Core is strongly preferred, and one or more SnowPro Advanced certifications (e.g., Data Engineer, Architect) is a significant plus
  • Snowflake features of CoCo, CoWork, Horizon Catalog, and Horizon Context (Semantic Views).
  • Redshift and/or Databricks: experience with additional data warehouse or lakehouse platforms (both used at Bold Orange)
  • Experience with Azure DevOps, Azure App Services, or other Azure services
  • Exposure to HubSpot CMS, APIs, or marketing automation platforms
  • Familiarity with IIS, .NET deployment, or Windows service management
We benchmark salaries across industry standards and local markets to ensure we offer competitive, fair compensation. Final offers reflect a candidate’s skills, experience, and location. The annual base for this position is anticipated to be between $85k-$130k. Final compensation will be dependent on the ideal candidates experience and local market at the time of hire.
Benefits That Matter:
Our benefits are designed to support life’s many stages—expected and unexpected. Eligible employees can access:
• Medical, dental, and vision insurance
• Virtual mental health support
• Health Savings and Flexible Spending Accounts (including dependent care)
• Infertility and critical illness benefits
• 401(k) with generous 6–10% employer contribution
• Paid parental leave
• Tuition reimbursement
• Free parking and commuter support
Note: Some benefits apply only to full-time employees.
 
Who We Are:
Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.
 
Equal Opportunity Employer:
We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.