Data Engineer

Job description


  • Design and implement data models that support business requirements, and integrate with various data sources and platforms.
  • Develop and maintain data pipelines using ETL tools such as Apache Airflow or AWS Glue.
  • Build and maintain data infrastructure such as data warehouses and data lakes.
  • Collaborate with cross-functional teams to improve data quality, reliability, and accuracy.
  • Monitor and optimize data loads and pipelines for performance and scalability.
  • Perform data analysis to support business decisions and identify trends and patterns in large datasets.
  • Stay up-to-date with emerging data technologies and tools to continually improve Pollen's data management capabilities.


  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 3 years of experience in data engineering or a related field.
  • Strong programming skills in languages such as Python, Java or Scala.
  • Hands-on experience with cloud-based data platforms such as AWS, Azure or Google Cloud.
  • Experience with data warehousing, ETL, and data modeling techniques.
  • Ability to design and implement data pipelines using tools such as Apache Airflow or AWS Glue.
  • Working knowledge of SQL and NoSQL databases such as PostgreSQL and MongoDB.
  • Excellent problem-solving skills and attention to detail.

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