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Geospatial Data Engineer Remote Jobs in Dallas, TX

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 ...

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 ...

Vital Services

Senior Data Engineer (Remote)

Allen, TX · Remote

$130K - $155K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals.

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 ...

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 ...

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 ...

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 ...

Mastech Digital

Data Engineer

Roanoke, TX · Remote

$65/hr

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 ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Sparks Group

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Data Engineer (AI & Cloud Platforms) We are seeking a Data Engineer to support the design ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Loopback Analytics

Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

Role Summary Loopback Health is seeking an innovative and team-oriented Data Engineer to join our ... Location Dallas, Texas (Remote) Department Platform Services Employment Type Full-Time Minimum ...

H R PUNDITS INC

Data Engineer

Carrollton, TX · On-site +1

$120K/yr

Data Engineer Location: Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job Functions / Responsibilities Candidate must have Battery Electric Vehicle related ...

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... General office working conditions can be remote work from home or in the office. Each department ...

Swoon Staffing

Refinery Data Engineer

Dallas, TX · Remote

$45 - $47.33/hr

REMOTE 8+ month contract for a Refinery Data Engineer role with a leading oil/energy client. APPLY NOW!!!! Title: Refinery Data Engineer Location: 100% remote-flex with time zones Type: Contract Pay ...

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All JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Dallas, TX

Geospatial Data Engineer Remote information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do geospatial data engineer remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for geospatial data engineer remote in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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 popular job titles related to Geospatial Data Engineer Remote jobs in Dallas, TX? For Geospatial Data Engineer Remote jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Dallas, TX look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Geospatial Data Engineer Remote jobs? Cities near Dallas, TX 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 Dallas, TX as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Senior Data Engineer Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Posted 22 days ago

Job description

Role: 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 programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
Youll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.