Junior Data Engineer (Philadelphia, PA)

Proadept Marketing is a nonprofit organization behind Certified B Corporations, focused on building a more inclusive and fair economic system. They are seeking a Junior Data Engineer to build and maintain data pipelines and infrastructure, facilitating the onboarding of new data sources and supporting the Data & AI team's goals.

Responsibilities:

• Own Pipeline Development End-to-End: Design, build, and maintain robust, scalable ETL/ELT pipelines that reliably deliver clean data to the platform
• Add New Data Sources: Evaluate, scope, and integrate new data sources as they're identified
• Partner Across Pillars: Work continuously with Network Priorities, Regional Enablement and AI Enablement to understand incoming data needs and translate them into pipeline work
• Monitor & Troubleshoot: Proactively identify and resolve pipeline failures and data quality issues before they affect downstream users
• Support Foundational Data Models: Work with the Senior Analytics Engineer to maintain the core data models the rest of the team depends on
• Ensure Data Availability for Consumers: Make sure the data needed by Data Analysts and the Senior Machine Learning Engineer is reliably available
• Follow Data Governance Standards: Apply the data standards, definitions, and sensitivity classifications set by the Data Governance Lead
• Evaluate Pipeline Tooling: Explore and pilot new ETL/ELT tools or approaches that could improve onboarding speed or pipeline reliability
• Quantify Impact: Track and articulate how pipeline reliability and onboarding speed affect downstream analytics and ML work

Requirements:

• Minimum of 2+ years of experience in data engineering
• Experience working in a DevOps-oriented culture that prioritizes continuous integration and continuous deployment
• Proficiency with Git and collaborative version control workflows (e.g., branching, pull requests, code review)
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation, or CDK) for provisioning and managing cloud infrastructure
• Proven experience in designing and deploying data solutions
• Experience designing, building, and onboarding new data sources into ETL/ELT pipelines
• Ability and desire to take product/project ownership
• Proficiency in SQL and experience with scripting languages such as Python, Java, or Scala
• Experience with data pipeline and workflow management tools
• Excellent communication skills
• A BA/BS in Computer Science, Information Technology, or a related field strongly preferred
• Strong knowledge of big data tools and frameworks such as Hadoop, Spark, or Hive is a plus
• Experience using AI coding assistants and other AI tools to improve development speed and productivity