Data Engineer
Haystack
seniorbackend United States Yesterday via LinkedIn
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DatabricksApache SparkSnowflakePythonETL/ELTData ModelingDistributed Data ProcessingData QualityData GovernanceMetadata Management
About the role
Role Overview
You will develop and maintain scalable data solutions, ensuring reliable data delivery and high data quality. You’ll partner with cross-functional teams to understand requirements and help shape data architecture.
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 systems
- Contribute to the design and architecture of data solutions
- Troubleshoot and resolve data-related issues
Requirements
- 5+ years hands-on experience with Databricks
- 3+ years experience with data modeling, ETL/ELT, and distributed data processing
- 5+ years experience with Spark and Snowflake
- 5+ years experience with Python
- Strong communication skills in fast-paced environments
Nice to Have
- Familiarity with data governance, metadata management, or data quality frameworks
About Haystack
Haystack is working with a leading global technology and consulting firm that delivers services to clients across multiple industries. The focus of their work is digital transformation and building innovative technology solutions. In this role, you’ll contribute to challenging data engineering initiatives for global teams.
Scraped 7/28/2026