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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
  • Proficiency in Java and/or Scala
  • 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
Interested in this job? We're still accepting applications for this position
Interested in this job? We're still accepting applications for this position

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