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Senior Data Engineer

5+ years
Full-time (40h)
Software Development
Full Remote



  • 5+ years of data engineering experience
  • Proficiency in Python / PySpark
  • Azure experience
  • Databricks experience
  • Experience with B2B solutions in areas such as CPG, retail, or supply chain
  • Experience designing and deploying large-scale data management systems
  • Experience with optimization and AI-enabled industries
  • Deep understanding of big data technologies and platforms
  • Ability to work collaboratively in a cross-functional team environment
  • Strong communication skills in both spoken and written English
  • Bachelor's Degree in Computer Engineering, Computer Science, or equivalent


  • Data Science background
  • Experience with data warehousing and ETL technologies (e.g. Airflow, Redshift, Snowflake)
  • AWS and/or GCP experience
  • Startup experience

What you will work on

  • Create and maintain data integration, ETL pipelines, and data warehouse structures
  • Develop scalable, available, fault-tolerant, data management systems that support AI models and analytics applications
  • Testing and validation to establish results that downstream users and processes can confidently depend on
  • Implement strong and adaptable data pipelines that support immediate decision-making
  • Develop reusable documentation to facilitate knowledge transfer among teams
  • Collaborate with cross-functional teams including Data Scientists, Software Engineers, Product Managers, and Customer Success to identify and solve problems concerning data quality, ingestion, and integration
  • Help drive innovation and best practices
  • Advise on tools to improve data infrastructure's performance, scalability, and security
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