Consultant, Data Engineer- Atlanta

• 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 like Azure Data Factory, AWS Glue, or Palantir Foundry
• 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

Key Responsibilities

• 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

Skills, Knowledge & Expertise

• 1-5 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 (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

Benefits

• 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
• The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the data and AI space