Data Engineer

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ProducePay

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Agriculture • Finance • Marketplace

ProducePay is a company dedicated to transforming the agricultural industry by providing farmers and produce companies with financial resources, market insights, and trading solutions. They aim to streamline and stabilize the supply chain for fresh produce by offering pre-season financing, quick-pay options, and their signature Predictable Commerce Programs. By providing access to capital, global trading networks, and real-time market intelligence, ProducePay helps growers, marketers, and retailers improve predictability and manage risks in the volatile produce industry. Their mission is to eliminate economic and food waste, and ensure a sustainable supply chain, ultimately contributing to feeding the world more sustainably.

201 - 500 employees

Founded 2014

🌾 Agriculture

💸 Finance

🏪 Marketplace

💰 $43M Series C on 2021-05

📋 Description

• Design and implement robust data governance, quality, and observability frameworks to ensure accuracy across all data products. • Own the architecture, modeling, and optimization of the data warehouse (e.g., dbt transformations, dimensional modeling) to support business intelligence and data science initiatives. • Build, deploy, and monitor high-volume, reliable data pipelines using appropriate workflow orchestration tools (e.g., Apache Airflow, Dagster). • Reviewing and analyzing data sets to identify patterns or trends that may have business implications. • Assisting and providing feedback for new and existing data models, databases. • Providing consultation on data management and integrity issues to other members of the company. • Recommending changes to existing databases to improve performance or resolve issues.

🎯 Requirements

• 5+ years of professional experience in Data Engineering. • At least a Bachelor’s Degree in Computer Science, Engineering, or a related quantitative field. • Familiar developing ELT pipelines using Python, REST, and SQL in a Linux environment. • Passionate about data and the power of data. • Willing to step outside of comfort and immediate responsibility zones to drive results and desired outcome. • Committed to making data a key focus for overall company strategy, growth, and product development. • Deep expertise in advanced SQL and data modeling concepts (e.g., Dimensional Modeling, 3NF). • Hands-on production experience with Snowflake and PostgreSQL. • Proficiency in Python or Scala, including experience with data processing libraries (e.g., Pandas, Spark). • Production experience building and maintaining data services on AWS (e.g., S3, EC2, Lambda, Kinesis/MSK). • Excellent communication and presentation skills. • Highly organized with good time management skills. • Strong attention to detail. • Strong understanding of Infrastructure as Code (IaC) principles; experience with Pulumi or Terraform is highly preferred. • Exceptional problem-solving ability. • Ability to succeed in a collaborative work environment and work cross-functionally.

🏖️ Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Work From Home • Wellness Resources