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Geospatial Data Engineer Remote Jobs in Texas (NOW HIRING)

Civitech

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... The Software Engineer, Geospatial Data position sits on our team responsible for civic and ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Experience working with geospatial data formats and spatial data processing * Experience supporting ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Experience working with geospatial data formats and spatial data processing * Experience supporting ...

Vytwo

Senior Data Engineer Remote

Prosper, TX · Remote

$55 - $60/hr

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary Responsibilities: * Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

Vytwo

Senior Data Engineer Remote

Prosper, TX · Remote

$97K - $131K/yr

Senior Data Engineer Remote Work Must be a US Citizen & have a USA Passport Primary Responsibilities: Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

Lorven Technologies

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Role: Data Engineer Location: Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

Samprasoft

Senior ML Data Engineer - Remote

Plano, TX · Remote

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

BNSF Railway

Sr/Staff Data Engineer (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Have knowledge of geospatial data transformation and spatial libraries At BNSF, you will have ...

Mastech Digital

Data Engineer

Roanoke, TX · On-site +1

$130K/yr

Westlake, TX (Hybrid ? 2 weeks onsite per month/ alternate weeks, rest remote) Salary: Up to $130,000/Annually or $65.00/Hourly Role: Data Engineer Primary Skills: Data Engineering and API ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum ...

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All JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Texas

Geospatial Data Engineer Remote information

What is a Geospatial Data Engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the key skills and qualifications needed to thrive as a Geospatial Data Engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the typical challenges faced by remote Geospatial Data Engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.
What are the most commonly searched types of Geospatial Data Engineer jobs in Texas? The most popular types of Geospatial Data Engineer jobs in Texas are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Texas? For Geospatial Data Engineer Remote jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Texas look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Texas are:
What cities in Texas are hiring for Geospatial Data Engineer Remote jobs? Cities in Texas with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Texas as of June 2026, with employment types broken down into 4% Internship, 7% As Needed, 63% Full Time, 11% Part Time, 4% Temporary, and 11% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Software Engineer, Geospatial Data

Software Engineer, Geospatial Data

Civitech

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes. Since our founding in 2019, over 500 partners-a range of nonprofit organizations, national political committees, and individual campaigns-have utilized Civitech's tools to reach tens of millions of voters to help create a more equitable and progressive democracy.
Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO, DC, DE, FL, GA, HI, IL, MA, MD, MN, NC, ND, NH, NJ, NV, NY, OH, SD, TN, TX, VA, WA, WI, WY). We maintain a physical co-working and collaboration headquarters in Austin, TX.
It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQIA+ people, and others otherwise underrepresented in the technology sector to apply.
Our Core Values
  • We act with Integrity - At Civitech, we hold ourselves to the highest standards and value open and transparent communications with all of our stakeholders. Our rigorous approach to product design, testing, and data science leads to accurate assessments of our outcomes and challenges us to constantly improve our tools.
  • We are Changemakers - As a team, Civitech seeks to make transformational change in our democracy by eliminating obstacles meant to hamper contribution from every member of the community.
  • We are Collaborators - Buoyed by our mission, we look for opportunities to partner with everyone committed to making democracy easier to participate in. We seek to understand the challenges our partners face and use our skills and creativity to help them solve them.
  • We are Bold - We recognize that disruptive change won't come with doing business as usual. Civitech seeks to revolutionize civic participation by bringing innovation and creativity to politics.

Role Overview:
The Engineering team builds scalable, secure, and user-friendly applications that empower progressive organizations, drive civic engagement, and promote democratic participation. We work closely with product and data teams to deliver impactful solutions.
The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team's Engineering Manager. This team focuses on:
  • Tools used by our research team to collect and maintain civic and constituent data, including geographic and boundary data.
  • Our GraphQL API product, used both internally and externally.
  • Data export products that provide civic data to customers.
  • Data engineering for our Voter Registration Mail product.

Our work spans backend-heavy data products and internal UI tools where reliability is critical. A core challenge lies in evolving our API and data export offerings, thoughtfully advancing functionality and the developer experience while maintaining stability across existing contracts.
What You Will Do
  • Participate with other engineers in the design, implementation, and maintenance of Civitech's applications and infrastructure.
  • Collaborate cross-functionally with product, research, and data science teams to develop features from participation in requirements definition through to testing and documentation.
  • Build scalable, secure, and high-performing features in a cloud environment.
  • Communicate effectively with team members and contribute to an open and inclusive engineering culture.
  • Grow your technical skills and contribute to effective team development practices.

If you were here today, you'd be:
  • Optimizing data availability: Developing new features to automatically make election research data available in our customer-facing tools, reducing latency to our end users.
  • Building data pipelines: Developing and maintaining pipelines that ingest, normalize, and serve civic data so it's reliably available to our tools and customers - including geospatial data like shapefiles and political boundary files.
  • Bridging data silos: Designing strategies to effectively and broadly share data between operational PostgreSQL databases and BigQuery data warehouses to enrich existing datasets.
  • Working with political geography: Reconciling census shapes against political shapes (precincts, council districts, legislative districts) and keeping that data current as new maps move through legislatures and the courts.
  • Improving data quality: Diagnosing and fixing bad data - from malformed geometries to inconsistent identifiers - so downstream tools and customers get reliable results.

About You:
  • You have 3-5 years of software engineering experience.
  • You thrive in a fast-paced startup environment, enjoy building software for the public good, and are passionate about democracy, civics, and politics.
  • You are strong in Python, especially for data pipelines, scripting, and automation.
  • You're comfortable working across the stack and picking up other languages and frameworks as needed - our applications are built largely in Ruby on Rails and JavaScript/TypeScript.
  • You have experience working with cloud environments, particularly Google Cloud Platform or AWS; experience with Azure is also valuable.
  • You are skilled in facilitating collaboration between engineers and with partner teams.
  • You are experienced with identifying issues and helping to develop solutions, including diagnosing and fixing data quality problems.
  • You are used to being actively engaged in planning the team's work via backlog refinement, helping to write user stories, etc.
  • You are practiced with written and verbal communication that helps make complex code accessible.
  • You prioritize writing maintainable and well-documented code.
  • You demonstrate the ability to effectively give and receive constructive feedback, especially with other engineers.

Additional qualifications (need some but not all): Our current work benefits from the below. Please keep in mind that you do not need to bring expertise in all of these to be the right candidate for this role.
Specialty: Geospatial & Political Data
This role has a particular focus on geospatial and political data, so experience in any of the following is a strong plus:
  • Hands-on experience with geospatial data - shapefiles, GeoJSON, projections/coordinate systems, and spatial joins.
  • Experience with geospatial libraries and tooling (PostGIS, GeoPandas, Shapely, GDAL/OGR, Fiona, etc.).
  • Familiarity with political geography: precincts, city council and county districts, and state/federal legislative districts.
  • Understanding of how census geographies differ from political boundaries, and the challenges of mapping between them.
  • Awareness of the current redistricting landscape and how court-ordered and legislative map changes affect downstream data.

Domain Knowledge
  • Understanding of U.S. elections administration and/or campaign operations.

Engineering Expertise
  • Proficiency in Python for scripting, automation, or data-related tasks.
  • Proficiency in JavaScript/TypeScript (used within and without Rails).
  • Knowledge of building and maintaining Ruby on Rails applications, including performing upgrades, using GraphQL-Ruby, Turbo/Stimulus, Rspec, etc.
  • Understanding of API design, development, and usage, especially GraphQL APIs.
  • Experience contributing to automated test suites and ensuring robust coverage.

Systems and Data
  • Expertise in PostgreSQL (with PostGIS for geospatial data).
  • Experience working with cloud data warehouses, particularly BigQuery.
  • Knowledge of building scalable data pipelines with dbt.
  • Knowledge of scaling and high-availability techniques.

Infrastructure
  • Experience maintaining infrastructure hosted on AWS or GCP.
  • Experience with continuous integration and deployment (CI/CD) tools, especially GitLab CI and/or GitHub Actions.
  • Familiarity with Terraform for Infrastructure-as-Code.

Why Work At Civitech?
  • Medical, Vision, & Dental Insurance
  • 401(k) plan
  • Employee Stock Options
  • Employer-paid Life Insurance
  • Short/Long Term Disability Insurance
  • Flexible Time Off & Paid Company Holidays
  • Flexible Spending Account
  • Parental Leave
  • Flexible Schedules
  • Professional Development Stipend
  • Monthly Office Upkeep Stipend

$90,000 - $120,000 a year
Status: Full-time
Civitech is unable to provide visa sponsorship at this time; all applicants must possess independent US work authorization.
Civitech utilizes E-Verify to verify eligibility to work in the United States. This verification step occurs strictly after a formal offer has been extended and accepted, following the completion of Form I-9. Please find more information about our participation in this program here.
Civitech provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or protected veteran status, in strict accordance with federal, state, and local compliance standards.
No recruiters or external staffing agencies, please.

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