Consultant, Data Engineer - Minneapolis

Thought Logic Consulting • Minneapolis, KS

3d

About The Position

Thought Logic Consulting is a functionally led, digitally enabled consultancy working at the intersection of business transformation and technology innovation. It partners with clients to solve complex business problems through a collaborative, local-market approach.

The Data Engineer will join the Minneapolis Data & Analytics team and work with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients derive insights from their data. The role is client-facing and offers support from experienced architects and consultants, with opportunities to grow technical and consulting skills. Candidates must currently reside in or within commuting distance of the Minneapolis office/Twin Cities metro.

Requirements

• 2–5 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 such as AWS, Azure, or Palantir Foundry, and with data modeling concepts.
• Understanding of data integration, quality, and performance-tuning principles.
• Ability to work collaboratively on fast-paced projects with 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 United States without sponsorship.
• Currently reside in or within commuting distance of the Minneapolis office/Twin Cities metro.

Nice To Haves

• Experience with Apache Airflow, dbt, or Palantir Foundry.
• Familiarity with big data technologies such as Spark, Kafka, or Redshift.
• Exposure to dashboarding and visualization tools such as Power BI or Tableau.
• Certifications in cloud platforms or data engineering technologies.
• Previous consulting firm experience.

Responsibilities

• 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.
• Build and maintain scalable, reliable data pipelines using tools such as Azure Data Factory, AWS Glue, or Palantir Foundry.
• Assist in developing and optimizing data models and cloud-based data platforms such as Snowflake, Databricks, or Redshift.
• Support the creation of dashboards and data visualizations using tools such as Power BI or Tableau.
• Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability.
• Engage in project workstreams alongside senior team members and learn client interaction and delivery practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level