Senior Data Engineer

This Fortune 10 company is an impact-driven healthcare leader, renowned for delivering insights, products, and services that make quality care more accessible and affordable globally. They foster a culture where employees can grow, make an impact, and are empowered to bring new ideas, shaping the future of health.The Role Design and implement scalable and efficient data pipelines using Databricks and Azure Data Factory Collaborate with cross-functional teams to understand data requirements and contribute to data architecture development Work on data integration projects, ensuring seamless and optimized data flow between systems like Snowflake, Salesforce, and SAP BW Implement best practices for data engineering, ensuring data quality, reliability, and performance Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows Demonstrate technical leadership by staying abreast of emerging data engineering technologiesWhat You'll Need Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering or a related field with 8 years of experience, or Master's degree with 5 years of experience 4 years demonstrated experience with SQL, Java, Python/Scala, MySQL, ETL/ELT Development, Data Modeling, and CI/CD with GitHub Actions 2 years demonstrated experience with Databricks, Azure Data Factory, PySpark, AWS, and Azure (Blob Storage, Logic Apps, Key Vaults) Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Understanding of continuous integration and deployment for automating build, testing, and releases Experience with using GitHub CICD with GitHub Actions for promotions to different environmentsWhat's On Offer Competitive compensation package with a salary range of $156,998 - $184,400 per year Opportunities for annual bonus or long-term incentive opportunities Comprehensive benefits package 100% telecommuting allowed from any location in the U.S.Apply via Haystack today!