Huron
5001 - 10000 employees
Founded 2002
🤝 B2B
🏢 Enterprise
💸 Finance
B2B • Enterprise • Finance
Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.
Data Engineer
🕒 February 24
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Huron
5001 - 10000 employees
Founded 2002
🤝 B2B
🏢 Enterprise
💸 Finance
B2B • Enterprise • Finance
Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.
📋 Description
• join the Data Science & Machine Learning team in our Commercial Digital practice • lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries
🎯 Requirements
• 2+ years of hands-on experience building and deploying data pipelines in production —not just ad-hoc queries and exports • built ETL/ELT systems that run reliably, scale, and are maintained over time • experience leading and developing technical teams —including coaching, mentorship, code review, and performance management • demonstrated ability to build high-performing teams and develop junior talent • strong SQL and Python programming skills with deep experience in PySpark for distributed data processing • experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility • familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs • experience with modern data transformation tools, dbt particularly • proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory • solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization • excellent communication and client management skills —ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences • Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience) • willingness to travel approximately 30% to client sites as needed.
🏖️ Benefits
• medical, dental, and vision coverage to employees and dependents • 401(k) plan with a generous employer match • employee stock purchase plan • generous Paid Time Off policy • paid parental leave and adoption assistance • Wellness Program supporting employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops
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