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Geospatial Data Engineer Remote Jobs in Oklahoma

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96.80K - $131.50K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

Strayos

$13 - $17.50/hr

As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Experience working with aerial or satellite imagery and geospatial data. Employment Type: INTERN

Quora

AI Automation Engineer -Remote

Tulsa, OK · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Lawton, OK · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Edmond, OK · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Broken Arrow, OK · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Oklahoma City, OK · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Norman, OK · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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Geospatial Data Engineer Remote information

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 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 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Oklahoma? For Geospatial Data Engineer Remote jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Oklahoma look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Oklahoma are:
What cities in Oklahoma are hiring for Geospatial Data Engineer Remote jobs? Cities in Oklahoma with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Data Engineer (remote option)

Data Engineer (remote option)

Vitaver & Associates, Inc.

Oklahoma City, OK • Remote

Other

Posted 22 days ago

Job description

14599 - Data Engineer (remote option) - Oklahoma City, OK
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 6-12 months with possible extensions
Work Setting: remote option. Travel quarterly to office
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
  • Hands-on Data Engineering experience (5+ years);
  • Experience with SQL including correlated subqueries and window functions;
  • Experience with cloud platforms (GCP Big Query) including query performance optimization with partitioning strategies;
  • Experience with Python for data pipeline development, automation, and API integration including pandas, NumPy, and SQL Alchemy;
  • Experience with ETL transformation tools such as Azure Data Factory, GCP Dataproc, Dataflow, SSIS, and dbt;
  • Experience with orchestration tools;
  • Experience with REST APIs for data ingestion and system interoperability;
  • Experience with version control (Git);
  • Experience with R for statistical analysis and data manipulation;
  • Experience with Python ML Libraries.

Preferred:
  • Experience in a HIPAA-regulated environment with data privacy and security requirements;
  • Experience with standards-based health data exchange (HL7 v2/v3, FHIR);
  • Experience with cell suppression and statistical disclosure logic within SQL for public-facing health data outputs;
  • Experience with SAS;
  • Bachelor's degree in Computer Science, Engineering, Data Engineering, or related field.

Responsibilities include but are not limited to the following:
  • Design, implement, and maintain ELT/ETL pipelines across cloud platforms (Azure, GCP, AWS);
  • Architect and modernize data acquisition and ingestion pipelines for large-scale healthcare data;
  • Implement and manage data storage solutions (data lakes, warehouses) utilizing appropriate partitioning, security, and lifecycle policies;
  • Plan and execute data migrations across platforms including schema mapping, data validation, and cutover coordination;
  • Design and architect schemas to support migration of transactional database structures to data warehouse environments including dimensional modeling;
  • Evaluate and integrate new and emerging data sources, link datasets across systems, and develop processes to support novel data types;
  • Document data architectures, lineage, and standards and provide technical guidance and mentorship.

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