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 datasets

What 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 control

What'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 package

Apply via Haystack today!