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Geospatial Data Engineer Remote Jobs in Kyle, TX

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary ... Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines ...

... to image, video, text, geospatial, time series, and structured data. * Raising insights ... This position offers a fully remote work environment, or you can work hybrid/on site at our office ...

Technical Support Engineer Remote ABOUT THE ROLE: This is a unique opportunity to join HiddenLayer ... data * Work with Product and Research to validate expected vs. actual system behavior * Translate ...

Develop robust data models and implement data quality, validation, and governance frameworks ... Hybrid, 3 days remote with 2 days (Mondays and Thursdays) required to be onsite** Qualifications ...

New

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

Senior Security Engineer - Data Platform

Austin, TX ยท On-site +1

$113K - $155K/yr

Data Encryption: Investigate and implement end-to-end encryption for data at rest and in transit ... Secure Remote Access: Establish secure, auditable remote access solutions for engineers to ...

Remote Security Clearance: Active DoD Secret Clearance We question. We listen. We adapt. Be honest ... Expertise with encryption of data at rest and in transit per FIPS standards, including AWS KMS ...

Work together with engineering and product development teams Data Scientist requirements are: * 3+ years' experience of working on Data Scientist or Data Analyst position * Significant experience in ...

The Staff Site Reliability Engineer (Azure)is responsible for designing, building, and ... data platform. This is a remote position. A remote position does not require job duties be ...

Security Data Analyst - Parsing

Austin, TX ยท On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Senior Software Engineer

San Francisco, CA ยท On-site +1

$144K - $190K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Showing results 41-60

Geospatial Data Engineer Remote information

See Kyle, TX salary details

$42.7K

$124.5K

$170.3K

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

As of Jul 26, 2026, the average yearly pay for geospatial data engineer remote in Kyle, TX is $124,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 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 Kyle, TX? For Geospatial Data Engineer Remote jobs in Kyle, TX, the most frequently searched job titles are:
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What cities near Kyle, TX are hiring for Geospatial Data Engineer Remote jobs? Cities near Kyle, TX with the most Geospatial Data Engineer Remote job openings:
BI Data Architect (Data Modeling)

BI Data Architect (Data Modeling)

Hireblazer

Austin, TX โ€ข Remote

$80 - $100/hr

Contractor

Posted 24 days ago


Job description

Role: Data Architect (BI / Data Modeling / Power BI)

Location: Austin, TX (Remote for Anywhere in Texas)

Duration: 3 Years

Must have : Oil & Gas Industry

Primary Skills: Data Architecture, Data Modeling, Power BI, Tableau, SSRS, ETL/ELT, Data Warehousing, KPI Metrics, Data Governance, SQL, Mainframe (IMS/COBOL/JCL), Enterprise Reporting.

Summary:

The Data Architect will be responsible for designing, developing, and maintaining the data architecture that supports enterprise reporting, analytics, and business intelligence needs. This role ensures that data structures, reporting models, and integration patterns are scalable, reliable, and aligned with business requirements. The architect will collaborate closely with enterprise architects, business stakeholders, data engineers, report developers, and IT leadership to deliver highquality reporting solutions that drive informed decisionmaking.

The ideal candidate brings strong analytical skills, experience working with legacy systems, and a solid understanding of modern data platforms, reporting tools, and integration patterns.

All work products resulting from the project shall be considered "works made for hire" and are the property of the client.

Job Description

Design and maintain reporting data models, including fact and dimension structures, semantic layers, and reporting datasets. Define and document data architecture standards, best practices, and governance guidelines. Ensure data models support business KPIs, operational reporting, dashboards, and advanced analytics. Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines and data integration workflows. Translate business requirements into scalable reporting data structures and data flows.

Other responsibilities include partnering with crossfunctional teams (IT, business, data governance, reporting teams) to align on data strategy and architecture. Provide guidance and mentorship to report developers and analysts on data modeling and best practices.

Essential Job Duties

Lead the design of scalable data solutions that support future growth and modernization initiatives.

Collaborate with reporting teams to ensure consistent definitions, calculations, and metrics across the organization.

Support the creation of reusable data assets for BI tools such as Power BI, or similar platforms.

Work closely with business units and mainframe team to understand reporting needs, KPI definitions, and analytical goals.

Ensure data accuracy, consistency, and integrity across reporting environments.

Establish and enforce data governance standards, including naming conventions, metadata, and documentation.

Support compliance with security, privacy, and regulatory requirements.

Troubleshoot complex data issues and provide architectural direction for resolution.

Required Skills:

8+ Years of Required Strong experience in data modeling (star schema, snowflake schema, semantic modeling).

6+ Years of Required Handson experience with enterprise reporting platforms (e.g., Power BI, Tableau, SSRS).

8+ Years of Required Ability to translate business requirements into technical data structures.

8+ Years of Required Skill with Microsoft Office tools, particularly with Word, Excel, Power Point, Visio, and SharePoint

6+ Years of Required Familiarity with KPI design, business metrics, and analytical methodologies.

8+ Years of Required Ability to interpret data models, data dictionaries, and technical documentation.

4+ Years of Required Knowledge of data governance frameworks and metadata management.

6+ Years of Required Experience in working in fast-paced and ever-changing environments; achieving project s deliverables and deadlines; exercising sound judgment in making critical decisions; analyzing complex information and developing plans to address identified issues.

2 Years of Required Skill in interpersonal relationships, including the ability to work with people under pressure, negotiate among multiple parties, resolve conflicts, and establish and maintain effective working relationships with various levels of personnel.

Preferred Skills:

3+ Years of Preferred Familiarity with mainframe systems (IMS, COBOL files, JCL, batch processes)

2+ Years of Preferred Knowledge of local, state, and federal laws and regulations (PII) relevant to data management and data governance

5+ Years of Preferred Experience in data focused projects, like moving from Legacy to newer systems.