1

Geocoding Jobs (NOW HIRING)

$125 - $150/hr

Develop and maintain geospatial applications using ESRI technologies, including map creation and geocoding. * Leverage Claude and other AI tools to enhance development productivity and code quality.

Geographer

Suitland, MD · On-site

$85K/yr

Using geography and geographic tools and concepts to perform geographic and/or geospatial analysis and geographic operations related to geocoding and/or spatial updates and coordinates; working with ...

Experience with address match and geocoding techniques * Ability to create cartographically pleasing outputs * Ability to communicate technical information effectively written & verbal Additional ...

Experience with address match and geocoding techniques * Ability to create cartographically pleasing outputs * Ability to communicate technical information effectively written & verbal Additional ...

$46.50 - $61.50/hr

Strong skills & experience with Web related Security issues, authentication mechanisms, interoperability with OpenID.\n \n * \n \n Prior experience of geocoding, address matching would be an ...

Geographer

Suitland, MD · On-site

$85K/yr

Using geography and geographic tools and concepts to perform geographic and/or geospatial analysis and geographic operations related to geocoding and/or spatial updates and coordinates; working with ...

Geographer

Suitland, MD · On-site

$85K/yr

Using geography and geographic tools and concepts to perform geographic and/or geospatial analysis and geographic operations related to geocoding and/or spatial updates and coordinates; working with ...

Assists in developing workflow and routines for ingesting spatial data from a variety of sources into a common standard, performs geostatistical analyses, generates and analyzes geocoding jobs, tests ...

Geographer

Suitland, MD · On-site

$85K/yr

Using geography and geographic tools and concepts to perform geographic and/or geospatial analysis and geographic operations related to geocoding and/or spatial updates and coordinates; working with ...

VP of Sales

Orem, UT · On-site

$250/hr

... geocoding, and address enrichment. This is an onsite, non‑remote opening in Orem, UT. What You'll Do * Develop and own the strategic sales plan, including design, segmentation, and quota setting ...

Showing results 41-60

Geocoding information

See salary details

$13

$24

$35

How much do geocoding jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for geocoding in the United States is $24.54, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $28.12 per hour, depending on experience, location, and employer.

What is geocoding and what does a geocoding specialist do?

Geocoding is the process of converting addresses or place names into geographic coordinates, such as latitude and longitude, which can be used on a map. A geocoding specialist typically works with geographic information systems (GIS) to match location data to geographic coordinates, verify address accuracy, and help organizations map and analyze spatial information. This role is essential for applications like navigation, delivery services, urban planning, and environmental studies, where accurate location data is critical. Geocoding specialists may also work to improve data quality, resolve ambiguous addresses, and maintain large geospatial databases.

What are the key skills and qualifications needed to thrive as a geocoding specialist, and why are they important?

To thrive as a Geocoding Specialist, you typically need expertise in GIS, data analysis, and a relevant degree such as geography, computer science, or a related field. Familiarity with mapping software like ArcGIS or QGIS, and experience with geocoding APIs and spatial databases are essential. Strong attention to detail, analytical thinking, and effective problem-solving skills set top performers apart. These skills ensure accurate location data processing, which is crucial for applications ranging from logistics to urban planning.

What are some common challenges faced by professionals working in geocoding roles, and how can they be addressed?

Geocoding professionals often encounter challenges such as handling ambiguous or incomplete address data, managing large-scale datasets, and ensuring high accuracy in location mapping. Resolving these issues typically involves leveraging advanced algorithms, regularly updating reference data, and collaborating closely with GIS analysts and software developers. Establishing standardized data entry practices and continuous validation processes can also help minimize errors and improve overall results. Effective communication with team members and stakeholders is crucial to address data discrepancies and meet project requirements.

What other helpful pages are available for Geocoding?

Other pages related to Geocoding:

Infographic showing various Geocoding job openings in the United States as of September 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $51,043 per year, or $24.5 per hour.

Senior / Staff Backend Engineer, Maps

New York, NY • On-site, Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Key responsibilities

  • Own the data foundation behind Radar's geocoding platform, including data modeling, consistency, and reliable serving.

  • Build and maintain data pipelines that integrate multiple commercial and open data sources to improve coverage and quality.

  • Contribute to integrating AI tools like LLMs and agents into the data layer for enrichment, labeling, and quality assurance.


Job description

About Radar
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.
Why is Radar the best place to work?
  • We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
  • We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
  • We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
  • We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
  • We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
  • We were recently named a top 10 best place to work in NYC by Crain's.

Despite our growth and scale, we're still just getting started. That's where you come in.
About the role:
We're looking for a Maps Product Engineer to strengthen the data foundation behind Radar's geocoding platform. Our daily traffic is over 1 Billion API calls / day (15,000 requests / second) so you will be operating at scale. You'll own the systems that bring many sources of location data together into something reliable, accurate, and fresh, with the opportunity to bring AI into how we enrich and scale it. It's a broad role with deep ownership of the data layer, reaching across the geocoding stack from ingestion to serving. This role will be in our NYC HQ.
How we work:
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning.
To us, a week is a long time, and we expect to ship big things every week.
The stack:
Our core backend service is HorizonDB, a geospatial database written in Rust that powers geocoding (see our blog posts here and here for a look at the internals)
We use Tantivy, RocksDB, and FSTs for indexing, with ML models for query understanding and ranking.
Our geospatial data pipelines are written in Scala and Python on Airflow, bringing many commercial and open data sources together.
The API layer is a Node.js TypeScript app, and we use MongoDB, S3/Athena, and Redis.
Everything is deployed to AWS via Kubernetes on EKS using Terraform.
Most engineers are in the on-call rotation.
We sponsor OpenStreetMaps, MapLibre, and OpenAddresses.
How we use AI:
  • Engineers choose what AI tools they use, Claude and Codex being the most popular.
  • We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
  • All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.
  • There is a range of how much engineers use AI. Most use it daily if not weekly.
  • We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.

The hiring process:
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What you'll do:
  • Own the data foundation under the geocoder including how location data is modeled, kept consistent, and served reliably, working across Scala, Python, and Rust
  • Build the pipelines that bring many commercial and open data sources together, expanding coverage and quality across US and international data
  • Help bring LLMs and agents into the data layer for enrichment, labeling, and quality, with the guardrails to keep them trustworthy
  • Range across the geocoding stack when the work calls for it, from the serving path in HorizonDB to the Node.js/TypeScript API
  • Have your work power over 1 Billion API calls / day
  • Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful

You should:
  • Think of yourself as a generalist engineer first, not tied to any particular stack
  • Are interested in talking to customers or prospects and making them successful
  • Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them

Bonus points if you:
  • Are a former technical co-founder
  • Have worked on a high throughput, high growth SaaS application
  • Have worked on geospatial infrastructure
  • Have built large-scale data pipelines or data-integration systems
  • Have used LLMs in a data or ML pipeline (enrichment, labeling, or evaluation)

You'll work with:
  • Tim Julien, CTO
  • Rishant Dwivedi, Engineering Manager
  • Our customers and prospects
  • Our Customer Success, Sales Engineering, and Sales teams

What we offer:
  • Competitive salary
  • Meaningful stock options in a fast-growing company
  • 401(k) plan with 4% match
  • New HQ in Flatiron, NYC
  • Top-notch equipment
  • Catered lunches
  • Unlimited PTO
  • Health, dental, and vision insurance with 100% coverage for employees
  • 12 weeks of paid parental leave
  • Commuter and fitness benefits

We'll share full details of our benefits package at the offer stage. Benefits may vary by location.
Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law.