Data Engineer (Databricks / Scala / Spark)

US Citizen or Green Card holder is Required to be eligible No C2C Request Please Join a growing team as a Senior Data Engineer leveraging advanced engineering techniques and analytics to support business decisions. Play a critical role in building and optimizing data platforms on Databricks and cloud environments, working with data scientists, architects, and client stakeholders. Requires strong hands-on expertise in Scala, Spark, Databricks and ETL; modern data engineering practices, including both batch and streaming architectures. Requirements • 3-10+ years of experience as a Data Engineer or Big Data Engineer • Strong experience across at least two major cloud platforms: AWS, Azure, or GCP • Proven experience building production-grade data platforms on Databricks • Experience designing both batch and streaming pipelines • Experience implementing DataOps, CI/CD, and DevOps practices for data platforms • Experience migrating data platforms from on-prem to cloud • Bachelor's degree in Computer Science, Engineering or related field (or equivalent practical experience) The Impact You Will Have • Lead Big Data & AI Transformations: Design and implement end-to-end data platforms, including large-scale big data and AI-enabled analytics solutions. • Champion Best Practices: Ensure Databricks, Spark, and cloud best practices are applied across all engagements. • Support Delivery & Estimation: Partner with Professional Services leadership to estimate work, manage technical risk, and support statements of work. • Architect Complex Solutions: Design, develop, deploy, and document complex customer solutions, serving as a technical lead. • Enable Knowledge Transfer: Produce reusable assets, documentation, and deliver training to clients and internal teams. • Advance Consulting Excellence: Share expertise and implementation patterns to improve delivery quality across the consulting organization.