Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Excellent health benefits package including access to medical, vision and dental coverage
- Paid time off for vacation - in your first year, you’ll start with 15 days (prorated in a to your start date)
- Additional paid time off for organizational closures
- 403(b) with a match of up to 3%
- Unlimited sick and personal time - if you need it, use it
- After your first year of employment, 40 hours paid time off for community service
- After your first year of employment: paid parental leave
- After your first year of employment: time and budget for your professional development (we assess this PD budget annually)
- A remote-first workplace
- A flexible work environment with the ability to plan your work week around your personal commitments
- Full-Time Role (40 hours per week, 5 days per week) with no option for part-time work
- Remote-first opportunity (candidate must be a resident of Pennsylvania, New York, or Brazil at the start of employment)
- Remote-first opportunity (must be within commuting distance of our office in Philadelphia, New York City, or São Paulo)
Company Overview