Data Scientist / Engineer
Most applications go out cold — see where you stand first. No sign-up to start.
Don't just apply. Show up ready.
Olive works from this exact posting — no sign-up to start.
At a glance
Job overview
datadotorg is hiring a Data Scientist / Engineer. The Impact Project is hiring a data engineer to join its small New York City‑based team, where the role involves building and maintaining data pipelines, writing documentation and technical briefs, and collaborating on data and study design to track federal data changes.
Key focus areas include 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, and Develop maps and geospatial tools that overlay environmental, socioeconomic, and weather data to show government change in local context.
Important skills include Data Pipeline, Database Design, Mapbox, ArcMap, PostGIS, and Data Visualization. Preferred (not required): EPA AQS, AirNow, NOAA, and Census/ACS.
Skills & qualifications
Skills
Qualifications
Full job description
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 Apply Now Spot any inaccurate information? Have a job to share? Let us know.
You've read the whole posting — now see how you match it.