Data Scientist / Engineer

datadotorg; New York (NY); On-site; USD 105,000 - 135,000; Full time

Job summary

datadotorg is seeking a data engineer in New York City to design and maintain data pipelines that ingest federal data streams and support geospatial analysis.

You will build pipelines, write documentation, and collaborate on study design, with a focus on maps and environmental data overlays to inform local context and policy decisions.

Qualifications

• 3–5 years of professional experience building and maintaining data pipelines.
• Proficiency in Python for data collection, cleaning, analysis, and pipeline development (pandas, APIs).
• Working knowledge of SQL and database design for organizing large datasets.
• Experience with mapping and geospatial tools such as Mapbox, ArcGIS, QGIS, PostGIS.
• Fluency with version control (Git) and reproducible workflows.
• Excellent written and verbal communication, including explaining technical decisions to non-technical colleagues.

Responsibilities

• Design and implement methodology for tracking and quantifying changes in federal data streams.
• Build and maintain data pipelines to collect, clean, and monitor 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 site selection analysis using data-driven metrics (need, capacity, historical gaps).
• Document methodology and findings for public reports, maps, and partner tools.
• Evaluate and integrate new data sources and tools as program needs grow.
• Take on other technical tasks to advance the work.

Skills

Python data pipelines

SQL

Geospatial data handling

Git

Communication

Data wrangling

Tools

Mapbox

ArcGIS

QGIS

PostGIS

Pandas

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

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