Managing Consultant, Data Engineer - Minneapolis
Indexed description
Location: Minneapolis
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.
- Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****
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
- 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
- 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
- Ability to legally work for any employer in the US without sponsorship
- 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
- 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
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