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Geospatial Data Engineer Remote Jobs in Silver Spring, MD

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ...

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Remote first work environment * Collaborative, cross-functional technology team * Fast-paced ...

Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ... Experience in data modeling, partition sharding, stream processing, and metrics gathering.

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... Experience with discrete event simulation, geospatial and/or temporal databases, and performing ...

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

Full Stack Developer

Mclean, VA · On-site +1

$150K - $250K/yr

... Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. Work on this program takes place in the McLean, VA area (we cannot support remote work) and ...

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... including Geospatial * Experience using Bash scripting for automation and data processing tasks

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Data Engineer is a key role on a centralized data engineering team that supports a wide range of ...

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Geospatial Data Engineer Remote information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

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

As of Jul 14, 2026, the average yearly pay for geospatial data engineer remote in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 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 Silver Spring, MD? For Geospatial Data Engineer Remote jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Silver Spring, MD look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Geospatial Data Engineer Remote jobs? Cities near Silver Spring, MD with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $134,098 per year, or $64.5 per hour.
Data Engineer II

Data Engineer II

SG2 Recruiting

Baltimore, MD • Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 21 days ago


Job description

SG2 Recruiting is supporting Trend Health Partners in their search for a Data Engineer II. This role is ideal for a data professional who enjoys building scalable data solutions, solving complex technical challenges, and transforming raw data into actionable business insights. The successful candidate will play a critical role in developing and optimizing the data infrastructure that supports healthcare operations, analytics, and decision-making across the organization.

Why This Role Matters

Data drives every aspect of Trend Health Partners' ability to serve clients and improve outcomes. As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure critical healthcare data is accurate, accessible, and actionable. Your work will directly support business leaders, operational teams, and technology partners as they make decisions that impact healthcare organizations and the patients they serve.

Work Environment:

  • Remote first work environment

  • Collaborative, cross-functional technology team

  • Fast-paced environment supporting multiple concurrent initiatives

  • Opportunity to work with modern cloud-based data technologies and healthcare data platforms

What You Will Be Doing:

Building and Optimizing Data Solutions

  • Design, develop, and maintain scalable data pipelines and workflows.

  • Perform data integration, transformation, and cleansing to support reporting, analytics, and operational needs.

  • Develop solutions that improve data accessibility, quality, and usability across the organization.

  • Identify opportunities to automate repetitive development and operational tasks.

Supporting Data Architecture and Engineering Excellence:

  • Provide technical guidance on data architecture and implementation approaches.

  • Partner with senior engineers to support long-term platform and product strategy.

  • Contribute to code reviews and help maintain high standards for performance, reliability, and maintainability.

  • Collaborate with application development teams to evolve data structures and integrations.

Solving Business Challenges Through Data:

  • :Translate business requirements into technical specifications and scalable solutions.

  • Work closely with stakeholders to resolve data-related technical issues.

  • Create reports and data products that provide meaningful insights for internal and external partners.

  • Provide recommendations and analysis to business process owners, leadership, and technology teams.

Supporting Operational Reliability:

  • Monitor, support, and troubleshoot a large portfolio of production data pipelines.

  • Develop and maintain documentation for data engineering processes, systems, and data models.

  • Ensure compliance with healthcare data privacy, security, and regulatory requirements.

  • Contribute to continuous improvement efforts that enhance system stability and operational efficiency.

Mentoring and Team Collaboration:

  • Share knowledge and best practices with team members.

  • Support the growth and development of junior engineers.

  • Contribute to a collaborative culture focused on learning, innovation, and continuous improvement.

What You Need:

  • Bachelor's degree in Computer Science, Business Administration, Information Systems, or a related field, or equivalent professional experience.

  • 3+ years of experience in data engineering, data integration, or a related technical discipline.

  • Strong experience with Python, T-SQL, SQL Server Management Studio (SSMS), Databricks, and Azure Data Factory.

  • Experience designing and maintaining data integration, transformation, and data warehousing solutions.

  • Ability to translate business requirements into technical solutions and finished products.

  • Strong understanding of data governance, privacy, and security best practices.

  • Experience working in fast-paced environments supporting multiple priorities simultaneously.

  • Strong communication and stakeholder management skills.

It's a Plus If You Have:

  • Experience working with healthcare data - specifically claims -- and healthcare technology environments.

  • Familiarity with healthcare privacy and security regulations.

  • Experience mentoring junior developers or engineers.

  • Experience working within Agile development environments.

  • Knowledge of Azure cloud services and modern data platform architecture.

  • Experience using tools such as JIRA, Bitbucket, Redgate, or similar SDLC platforms.

  • Strong troubleshooting and root-cause analysis capabilities.

Why People Join Trend Health Partners

Meaningful Impact

  • Help healthcare organizations make better decisions through trusted, accessible data.

  • Build technology solutions that support improved operational and business outcomes.

Professional Growth

  • Expand your expertise in cloud-based data engineering, healthcare analytics, and enterprise data platforms.

  • Gain exposure to complex data environments and large-scale data operations.

  • Work alongside experienced engineers and technology leaders committed to continuous learning.

Collaborative Culture

  • Join a remote-first team that values knowledge sharing, innovation, and problem-solving.

  • Partner directly with business leaders and stakeholders to deliver meaningful solutions.

  • Have a voice in shaping technical approaches and improving engineering practices.

Benefits

  • Comprehensive medical, dental, and vision coverage.

  • Health Savings Account (HSA) and Flexible Spending Account (FSA) options.

  • Life and disability insurance.

  • Voluntary benefits including accident, hospital, and pet insurance.

  • Employee Assistance Program (EAP).

  • Access to benefits management through the Nava Benefits platform.

About Trend Health Partners

Trend Health Partners helps healthcare organizations leverage data, technology, and analytics to improve operational performance and business outcomes. Through innovative solutions and a commitment to excellence, the organization enables clients to make informed decisions based on accurate, reliable, and actionable information.

The company fosters a collaborative environment where technology professionals can tackle meaningful challenges, expand their technical expertise, and contribute to solutions that make a measurable impact across the healthcare ecosystem.