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Director Data Engineering Jobs in Minnesota (NOW HIRING)

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... direct mail, or marketing services industries preferred. * Familiarity with Azure DevOps or similar ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... direct mail, or marketing services industries preferred. * Familiarity with Azure DevOps or similar ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... direct mail, or marketing services industries preferred. * Familiarity with Azure DevOps or similar ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

... directed acyclic graphs (DAGs) for efficient data organization and processing - Supporting the ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

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Showing results 1-20

Director Data Engineering information

See Minnesota salary details

$71.5K

$190.7K

$248.8K

How much do director data engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for director data engineering in Minnesota is $190,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,600.00 and $247,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive in the Director Data Engineering position, and why are they important?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
What are popular job titles related to Director Data Engineering jobs in Minnesota? For Director Data Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Director Data Engineering jobs in Minnesota look for? The top searched job categories for Director Data Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Director Data Engineering jobs? Cities in Minnesota with the most Director Data Engineering job openings:
Infographic showing various Director Data Engineering job openings in Minnesota as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $190,701 per year, or $91.7 per hour.
Managing Consultant, Data Engineer

Managing Consultant, Data Engineer

Thought Logic Consulting

Minneapolis, MN

$119K - $143K/yr

Full-time

Posted 25 days ago

Be an early applicant


Job description

Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.
The Role
We are looking for a technically skilled and motivated Data Engineer with 7-12 years of experience to join our growing Data & Analytics team. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You’ll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.

What You'll Do
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications
  • Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality
  • Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
  • Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
  • Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
  • Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases

Who You'll Work With
  • A team of collaborative, experienced consultants focused on solving complex business problems through data
  • Clients across industries who are looking to modernize their data platforms and make more informed decisions
  • Colleagues who prioritize curiosity, humility, and hands-on problem-solving
    A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 7-12 years of professional experience in data engineering, analytics, or a related technical role
  • Proficiency in SQL and working knowledge of Python or another scripting language
  • Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks
  • Familiarity with cloud environments (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
  • Understanding of data integration, quality, and performance tuning principles
  • Ability to work collaboratively on fast-paced projects with a mix of technical and non-technical stakeholders
  • Strong problem-solving and communication skills
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Currently reside in Minneapolis,MN area or willingness to relocate at your expense.
  • Ability to legally work for any employer in the US without sponsorship
Bonus Points if You Have
  • Experience with tools like Apache Airflow, dbt, or Palantir Foundry
  • Familiarity with big data technologies such as Spark, Kafka, or Redshift
  • Exposure to dashboarding and visualization tools like Power BI or Tableau
  • Certifications in cloud platforms or data engineering technologies
  • Previous consulting firm experience

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake