Data Engineer
Haystack
seniorpermanentbackend United States Yesterday via LinkedIn
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DatabricksApache SparkSnowflakePythonETL/ELTDistributed Data ProcessingData ModelingData PipelinesData QualityData Governance
About the role
Role Overview
You will design, build, and maintain scalable data solutions, working across the data lifecycle from pipelines and modeling to storage, quality, and operational troubleshooting.
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 in Data Modeling, ETL/ELT, and distributed data processing
- 5+ years experience with Spark and Snowflake
- 5+ years experience with Python
- Strong communication skills to clarify ambiguities in fast-paced environments
Nice to Have
- Familiarity with data governance, metadata management, or data quality frameworks
About Haystack
Haystack is partnering with a leading global technology and consulting firm that delivers digital transformation services and innovative solutions across a range of industries. The work centers on building scalable technology capabilities with cross-functional teams to solve data and transformation challenges.
Scraped 7/26/2026