2

Geospatial Data Engineer Remote Jobs in Jupiter, FL

Lead Data Engineer

Palm Beach, FL · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Senior Data Engineer

West Palm Beach, FL · Remote

$102K - $139K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

... the option for remote work. This role combines advanced CAD expertise with GIS proficiency ... geospatial and data management initiatives across the organization * Produce complex engineering ...

Senior DevOps Engineer

Palm Beach, FL · Remote

$133K - $170K/yr

You will collaborate closely with development, data, and QA teams to streamline delivery and ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

next page

Showing results 1-20

Geospatial Data Engineer Remote information

See Jupiter, FL salary details

$43.5K

$126.8K

$173.6K

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

As of Jun 27, 2026, the average yearly pay for geospatial data engineer remote in Jupiter, FL is $126,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 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 Jupiter, FL? For Geospatial Data Engineer Remote jobs in Jupiter, FL, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Jupiter, FL look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Jupiter, FL are:
What cities near Jupiter, FL are hiring for Geospatial Data Engineer Remote jobs? Cities near Jupiter, FL with the most Geospatial Data Engineer Remote job openings:
Lead Data Engineer

Lead Data Engineer

IT Labs

Palm Beach, FL • Remote

$117K - $140K/yr

Full-time

Posted 8 days ago


Job description

About the Role

At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space.

Our client is transforming healthcare through a technology-driven platform that connects employers and patients with leading medical providers, helping reduce costs and improve outcomes. As they continue to scale, they are investing heavily in modernizing their data infrastructure and analytics capabilities.

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross-functional teams, you will help deliver reliable, high-quality data that powers business decisions and supports the company's growth.
What You'll Do

  • Lead the design, development, and optimization of scalable data platforms and pipelines.

  • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.

  • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.

  • Develop robust integrations with enterprise applications, APIs, and external data providers.

  • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance.

  • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.

  • Implement data quality, validation, monitoring, and observability frameworks.

  • Establish and promote best practices for data governance, lineage tracking, metadata management, and security.

  • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent.

  • Mentor other engineers and contribute to architectural decisions, technical standards, and engineering best practices.

Ensure data platforms meet performance, reliability, scalability, and regulatory requirements.
Required Skills

  • 7+ years of experience in data engineering within cloud or hybrid environments.

  • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.

  • Advanced SQL skills and proficiency with data transformation techniques.

  • Strong Python programming skills for data processing and automation.

  • Hands-on experience with Snowflake, including:

    • Data modeling

    • Snowpipe

    • Query optimization

    • Schema design

  • Experience migrating from BigQuery or similar columnar data warehouse technologies.

  • Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.

  • Experience building enterprise-grade API and source-system integrations.

  • Experience implementing data quality and validation frameworks.

  • Good understanding of:

    • Data governance

    • Data lineage

    • Access control and security best practices

  • Strong problem-solving and communication skills.

  • Ability to work effectively in a collaborative, cross-functional environment.

Nice to Have

  • Experience with Databricks, including:

    • Delta Lake

    • Unity Catalog

    • Spark-based pipelines

  • Experience with Spark, Scala, or PySpark.

  • Familiarity with Tableau.

  • Understanding of HIPAA and HITRUST data handling practices.

  • Experience with dbt (data build tool) for transformation layer management.

  • Experience working within healthcare, insurance, or regulated industries.

Working Conditions
  • Full-time, 40h/week

  • US-based — US citizenship is required

  • Remote

  • Contract or B2B arrangement

Our values

We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.

About IT Labs

Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro, North Macedonia, and the Middle East. We are constantly growing, and we would love for you to become part of our team!