{"schemaVersion":"jobsearcher.job.v1","id":"70004dcbbfce1edd86a699f5","url":"https://jobsearcher.com/jobs/70004dcbbfce1edd86a699f5","canonicalUrl":"https://jobsearcher.com/jobs/70004dcbbfce1edd86a699f5","title":"Senior Data Engineer","description":"We're working with a leading technology company dedicated to leveraging cutting-edge solutions to enhance health and well-being across communities. This organization is committed to fostering a supportive environment that prioritizes professional growth, work-life balance, and continuous learning for its employees.The Role Design, develop, and maintain scalable data pipelines and models integral to analytics and decision-making. Architect robust ETL/ELT workflows using Databricks, Spark, and Python. Partner with cross-functional teams to ensure timely, accurate, and governed data access for reporting. Optimize data workflows by tuning SQL, Spark jobs, and cloud data pipelines to improve performance. Utilize AWS services (S3, Glue, Lambda) for managing and scaling data engineering workloads. Establish and maintain data engineering best practices including code quality, security, and documentation. Construct and support dimensional and normalized data models for diverse use cases and reporting. Implement robust pipeline orchestration and monitoring using tools like Airflow or AWS Step Functions.What You'll Need 3+ years of experience as a Data Engineer or in a 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, transformation, 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. Experience with Power BI or other BI tools (e.g., Tableau, Looker) for data visualization.What's On Offer Opportunity to work with leading-edge technologies to improve health and well-being. Flexible vacation policy and comprehensive health benefits. Access to leadership and technical development academies. Educational assistance and a 401(k) employer match.Apply via Haystack today!","company":"Haystack","rawCompany":"haystack","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T11:41:52.935Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"We're working with a leading technology company dedicated to leveraging cutting-edge solutions to enhance health and well-being across communities. This organization is committed to fostering a supportive environment that prioritizes professional growth, work-life balance, and continuous learning for its employees.The Role Design, develop, and maintain scalable data pipelines and models integral to analytics and decision-making. Architect robust ETL/ELT workflows using Databricks, Spark, and Python. Partner with cross-functional teams to ensure timely, accurate, and governed data access for reporting. Optimize data workflows by tuning SQL, Spark jobs, and cloud data pipelines to improve performance. Utilize AWS services (S3, Glue, Lambda) for managing and scaling data engineering workloads. Establish and maintain data engineering best practices including code quality, security, and documentation. Construct and support dimensional and normalized data models for diverse use cases and reporting. Implement robust pipeline orchestration and monitoring using tools like Airflow or AWS Step Functions.What You'll Need 3+ years of experience as a Data Engineer or in a 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, transformation, 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. Experience with Power BI or other BI tools (e.g., Tableau, Looker) for data visualization.What's On Offer Opportunity to work with leading-edge technologies to improve health and well-being. Flexible vacation policy and comprehensive health benefits. Access to leadership and technical development academies. Educational assistance and a 401(k) employer match.Apply via Haystack today!","datePosted":"2026-07-16T11:41:52.935Z","dateModified":"2026-07-16T11:41:52.935Z","hiringOrganization":{"@type":"Organization","name":"Haystack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"70004dcbbfce1edd86a699f5"},"url":"https://jobsearcher.com/jobs/70004dcbbfce1edd86a699f5"}}