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Data Engineer

Haystack

seniorpermanentbackend United States Today via LinkedIn

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Tags

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