Data Scientist / Engineer

In A Nutshell Location On Site New York City, NY, United States Salary $105,000 – $135,000 / year Job Type Full-time Experience Level Mid-level Deadline to apply September 11, 2026 We’re now growing: The Impact Project is hiring a data engineer to join our small New York City-based team. You’ll build and maintain data pipelines and applications, write documentation and technical briefs, and collaborate on data and study design. Responsibilities Design and implement the methodology for tracking and quantifying changes in federal data streams Build and maintain data pipelines to collect, clean, and monitor federal datasets and agency changes over time Develop maps and geospatial tools that overlay environmental, socioeconomic, and weather data to show government change in local context Support pilot site selection analysis using data-driven metrics such as need, capacity, and historical monitoring gaps Document methodology and findings for use in public reports, mapping products, and partner-facing tools Evaluate and integrate new data sources and technical tools as program needs grow Take on other technical tasks as needed to advance the work Skillset Required Approximately 3–5 years of professional experience building and maintaining data pipelines, or equivalent demonstrated skill Proficiency in Python for data collection, cleaning, analysis, and pipeline development (e.g. pandas, requests, working with APIs) Working knowledge of SQL and database design for organizing large or evolving datasets Experience with mapping and geospatial tools such as Mapbox, ArcGIS, QGIS, PostGIS, or similar Fluency with version control (Git) and reproducible, well-documented workflows Excellent written and verbal communication, including the ability to explain technical decisions to non-technical colleagues and community partners Nice to have Experience with federal or other government open data sources (e.g. EPA AQS or AirNow, NOAA, Census/ACS) Familiarity with cloud platforms and data hosting (e.g. AWS, Google Cloud) Data visualization skills for translating technical findings into public-facing maps and reports Experience incorporating LLMs or other machine learning into internal tooling or analysis workflows Background or coursework in environmental science, public health, or environmental justice, or prior work with community-based organizations Spot any inaccurate information? Have a job to share? Let us know. #J-18808-Ljbffr datadotorg