Managing Consultant, Data Engineer

About 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.

Responsibilities

• 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

Requirements

• 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
• 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 willing to relocate at your expense
• Ability to legally work for any employer in the US without sponsorship

Qualifications

• 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