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Geospatial Data Engineer Remote Jobs in Louisiana

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Analytics The Data Engineer will support the design, development, and implementation of analytical ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Harris

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

Harris

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

DPR Construction

Data and AI Project Analyst

Monroe, LA · On-site +1

... remote work. This includes participation in key meetings and workgroup meetings at the jobsite ... Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

GDIT

AI Data Scientist

Bossier City, LA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

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

Principal Data Engineer

Bollinger Shipyards

Raceland, LA • Remote

Full-time

Posted 2 days ago

New

Bollinger Shipyards rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Job Title: Principal Data Engineer

Location: Remote

POSITION OVERVIEW

We are seeking a dedicated Principal Data Engineer .The candidate will lead the design, development, and delivery of enterprise data pipelines and foundational data assets supporting analytics, reporting, forecasting, and AI initiatives. This role is responsible for establishing scalable and reliable data engineering practices while ensuring enterprise data is accurate, secure, accessible, and aligned to business priorities.

REQUIREMENTS
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field
  • Minimum of 8–12 years of experience in data engineering
  • Proven experience delivering enterprise-scale data pipelines
  • Strong SQL and data transformation expertise
  • Experience with cloud data platforms (Azure preferred)
  • Experience integrating ERP and operational systems
  • Experience leading technical teams or mentoring engineers; prior people management experience is desirable
SKILLS
  • Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies
  • Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments
  • Familiarity with Power BI and downstream analytics enablement
  • Experience supporting AI/ML initiatives through engineered datasets and feature pipelines
  • Knowledge of data observability, master data management, and metadata management practices
  • Relevant cloud or data engineering certification
RESPONSIBILITIES
  • Lead the design, development, and support of enterprise data pipelines and integrations across Oracle ERP, Finesse, MES, PLM, Primavera, proposal systems, and other operational platforms
  • Establish and maintain scalable data engineering standards, frameworks, and development practices
  • Ensure consistent implementation of enterprise data architecture and medallion data design patterns (raw, curated, business-ready)
  • Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes
  • Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards and future-state architecture
  • Support analytics, reporting, forecasting, and AI initiatives through delivery of trusted and performant datasets
  • Ensure data quality, lineage, observability, and reliability across enterprise data assets
  • Provide technical leadership, architectural guidance, and mentoring to data engineering team members
  • Collaborate with cybersecurity and infrastructure teams to ensure secure and compliant handling of enterprise data
  • Evaluate emerging technologies and recommend improvements to data engineering capabilities and platform performance
  • Mentor and develop technical talent while fostering strong engineering discipline and accountability

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

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