Data Engineer

Producers Trust is mission driven corporation. We are building a platform that delivers transparency to global agricultural supply chains. Our mission is to promote sustainable and ethical farming practices that reduce supply chain risks of the products that you see on grocery shelves. We’re a passionate, smart, and committed team, and we want you to join our mission!

We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing team. As a Data Engineer, you will be responsible for designing, building, and maintaining our data pipelines and infrastructure to ensure efficient and reliable data processing. We are looking to research and build a modeling platform that uses a variety of data sources to measure, report, and verify the product claims of sustainability, carbon sequestration, and ethical labor practices.


  • Architect and design data ingestion pipelines for our Data Lake platform.
  • Collaborate with Data Scientists to train and refine AI models.
  • Develop and model information architecture and database schemas.
  • Build automation tools to normalize and cleanse data from various sources.
  • Design, build, and maintain our data infrastructure and pipelines to ensure efficient and reliable data processing.
  • Implement ETL (extract, transform, load) processes to ingest and transform data from various sources and systems.
  • Collaborate with data scientists, analysts, and other stakeholders to define data requirements and ensure data quality and accuracy.
  • Optimize data models and database performance to support fast data retrieval and analysis.
  • Implement and maintain data security and compliance measures to protect sensitive data.
  • Stay up-to-date with the latest data technologies and industry best practices to continuously improve our data infrastructure and pipelines.


  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
  • 3+ years of professional experience in data engineering, ETL, or related field.
  • 3+ years experience with Document DBs (e.g. MongoDB, RavenDB, Cosmos)
  • 3+ years experience with SQL Database technologies (e.g. MS SQLServer)
  • 3+ years experience with Data Lake technologies (e.g. Azure Data Lake, Snowflake)
  • Experience with Tableau or other Data Visualization tools
  • Python experience is a plus.
  • Strong experience with big data technologies such as Hadoop, Spark, or Flink, and database technologies such as SQL, NoSQL, and graph databases.
  • Strong experience with ETL tools such as Apache Nifi, Airflow, or Talend.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of data security and compliance measures.
  • Excellent problem-solving skills and the ability to work independently and in a team environment.
  • Excellent communication and collaboration skills.

To apply please send us your CV and email cover letter at