Data Engineer
Haystack
seniorpermanentbackend United States Today via LinkedIn
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DatabricksApache SparkSnowflakePythonETL/ELTData ModelingData PipelinesDistributed Data ProcessingData QualityData Governance
About the role
Role Overview
As a Data Engineer, you will build and maintain scalable data solutions to support analytics and data-driven products across systems.
Responsibilities
- Develop and maintain scalable data pipelines
- Implement and optimize data storage solutions
- Collaborate with cross-functional teams to understand data requirements
- Ensure data quality and integrity across all systems
- Contribute to data solution design and architecture
- Troubleshoot and resolve data-related issues
Requirements
- 5+ years hands-on experience with Databricks
- 3+ years with Data Modeling, ETL/ELT, and distributed data processing
- 5+ years with Spark and Snowflake
- 5+ years with Python
- Strong communication skills in fast-paced environments
Nice to Have
- Familiarity with data governance, metadata management, or data quality frameworks
What’s On Offer
- Work on challenging, innovative data projects
- Collaboration with a dynamic global team
- Professional growth and skill development opportunities
About Haystack
Haystack is partnering with a leading global technology and consulting firm that delivers services across multiple industries. The firm focuses on digital transformation and building innovative technology solutions for clients.
Scraped 7/28/2026