Data Engineer
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We are working with a leading provider of information technology and workforce solutions, helping companies modernize and optimize their analytics data assets.The Role Refactor and optimize legacy SQL/PySpark logic into modular, scalable pipelines. Architect reliable, production-grade analytics data products with strong governance standards. Process large-scale data workloads using PySpark and Databricks. Collaborate with the core analytics team to create assets for handoff to broader engineering and offshore teams. Standardize data product outputs, including schema enforcement and metadata documentation.What You'll Need Expert-level experience with PySpark and Databricks for large-scale data processing. Advanced SQL expertise, particularly in AWS Redshift environments with high-volume queries. Proven ability to transition experimental sandbox work into production-ready assets. Experience in refactoring legacy SQL/PySpark logic into optimized pipelines. Strong communication and partnership skills to work effectively with analytics and engineering teams.What's On Offer Opportunity to work on modernizing and optimizing critical analytics data assets. Flexible work environment with remote options. Competitive hourly pay rate. Access to benefits including medical, dental, vision, and 401K contributions for full-time consultants.Apply via Haystack today!