Senior Data Engineer

Working with a leading technology company dedicated to improving the health and well-being of vulnerable populations across the country, leveraging cutting-edge solutions to deliver impactful results.The Role Design, develop, and maintain scalable data pipelines and models Partner with analytics, product, and engineering teams to ensure timely and accurate data access Optimize data workflows by tuning SQL, optimizing Spark jobs, and enhancing cloud pipelines Utilize AWS services (S3, Glue, Lambda) for data engineering workloads Establish and maintain data engineering standards for quality, security, and version control Build and maintain dimensional and normalized data models for cross-functional use cases Set up robust pipeline orchestration and monitoring/alerting systems Collaborate with data analysts, scientists, and business users to transform raw data into business-ready datasetsWhat You'll Need 3+ years of experience as a Data Engineer or similar role Strong hands-on experience with Databricks (Spark, Delta Lake) and Python-based ETL frameworks Solid experience with AWS cloud services for data processing and storage Moderate-to-advanced proficiency in SQL for data wrangling and performance tuning Experience with data lake architectures, ELT/ETL development, and orchestration tools Familiarity with software engineering best practices, including CI/CD and version controlWhat's On Offer Incredible opportunity to grow your career with a company that values work flexibility and development Generous, flexible vacation policy and educational assistance Comprehensive leadership and technical development academies Competitive salary and benefits packageApply via Haystack today!