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Geospatial Data Engineer Remote Jobs in Haverhill, MA

Partner with Security Engineering, IT, Data, and platform teams to automate control testing, evidence collection, validation, and recurring compliance workflows. * Define the logs, metadata ...

Partner with product and engineering leaders to align design work with business goals * Present designs clearly to senior stakeholders, including C-level executives Data Visualization & Geospatial ...

TAK Developer

Lexington, MA ยท On-site +1

$86K - $198K/yr

Experience with Cursor-on-Target (CoT) and geospatial data formats such as KML and GeoJSON ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 21-40

Geospatial Data Engineer Remote information

See Haverhill, MA salary details

$46.5K

$135.5K

$185.4K

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

As of Aug 6, 2026, the average yearly pay for geospatial data engineer remote in Haverhill, MA is $135,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 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 cities near Haverhill, MA are hiring for Geospatial Data Engineer Remote jobs? Cities near Haverhill, MA with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Haverhill, MA as of June 2026, with employment types broken down into 35% Full Time, 62% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $135,486 per year, or $65.1 per hour.

Staff GRC Engineer (Remote)

ezCater, Inc

Boston, MA โ€ข On-site, Remote

Other

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

ezCater is looking for a Staff GRC Engineer to join the Security Engineering & Compliance team as a technical leader who can help mature our governance, risk, compliance, and data security capabilities in a way that is durable, measurable, and embedded into how our systems operate day to day. This is not a narrow audit coordinator or policy only role. We're looking for a balanced builder-operator who can raise the quality and maturity of our security controls by expanding control monitoring, strengthening data security governance, automating and instrumenting the program where stronger evidence and better monitoring are needed, and improving the operational follow through that makes the program scalable, sustainable, and effective.

What You'll Do:

  • Lead control program maturity
    • Design and maintain an auditable control framework that fits ezCater's SaaS, cloud, data, and engineering environment rather than forcing generic controls onto modern systems.
    • Shape and define ezCater's AI Governance strategy with stakeholders across the Legal, Data, Engineering, and IT domains.ย 
    • Define how key controls are implemented, tested, evidenced, and improved over time, with a strong bias toward reliability and highly-automated, low/no friction evidence paths.
    • Partner with internal and external audit stakeholders on control design, walkthroughs, exceptions, remediation, and readiness activities tied to SOX and related frameworks.
    • Help rationalize overlapping control requirements across SOC 2, PCI, SOX, and internal policy expectations into a coherent operating model.
  • Build continuous control monitoring and automation
    • Identify where quarterly or annual checks should become continuous or near-real-time monitoring, especially for high-value controls and failure-prone workflows.
    • Partner with Security Engineering, IT, Data, and platform teams to automate control testing, evidence collection, validation, and recurring compliance workflows.
    • Define the logs, metadata, dashboards, and signals needed to assess control health and make compliance more observable and less dependent on screenshots and one-off pulls.
    • Help shift the program from detective-only controls toward stronger preventive and engineering-embedded control patterns where appropriate.
  • Expand data security policy and program quality
    • Help define and mature data security policies, standards, and handling requirements so they are clear, enforceable, and tied to actual technical and operational practices.
    • Partner with Data, Engineering, and business stakeholders to ensure data governance shows up in meaningful places such as access patterns, role design, labels, masking, retention, and evidence paths.
    • Establish what a high-quality GRC program looks like by helping define operating cadences, ownership models, decision paths, metrics, and continuous improvement loops.
    • Drive clearer documentation, standards, and guidance that both technical teams and auditors can use effectively.
  • Drive operational quality improvements
    • Support day-to-day GRC and assurance work where hands-on execution is needed to keep the program moving, including control failures, remediation coordination, audit operations, and related follow-through.
    • Improve the team's ability to handle questionnaires, trust requests, vendor and partner reviews, and other recurring work through better structure, reusable materials, and smarter agentic workflows.
    • Act as a practical partner to teams implementing or remediating controls, not just an assessor of whether the control exists on paper.
  • Lead through influence and systems thinking
    • Own a domain with high autonomy, lead cross-team efforts from start to finish, and improve the quality of systems, controls, and processes across that domain.
    • Drive alignment across stakeholders with different incentives and constraints, making pragmatic decisions that balance risk, cost, and operational reality.
    • Mentor others, improve documentation and knowledge sharing, and help raise the overall maturity of the Security Engineering & Compliance team and its partners.

What You Have:

  • 8+ experience in security GRC, compliance, risk, or security program work in a SaaS or cloud-native environment, including meaningful ownership of control design, testing, and program improvement.
  • Strong experience with security compliance frameworks such as ISO-27001, NIST CSF, SOC 2, ITGC, and PCI-DSS, including how to translate framework requirements into controls that work in real systems and teams.
  • Demonstrated ability to automate or instrument parts of a compliance or assurance program through scripting, APIs, dashboards, platform configuration, or other technical approaches.
  • Implementation of engineering system guardrails for ensuring compliance utilizing Policy-as-Code (Terraform) or secure configurations of platform systems within cloud hosted environments (AWS, GitHub, etc.)
  • Experience building or improving data security governance, classification, handling rules, or related control practices across business systems, data platforms, or collaboration environments.
  • Familiarity with governing and securing AI/Agentic systems and business processing.
  • Strong written communication and cross-functional influence skills, with the ability to explain controls, trade-offs, and program expectations to both technical and non-technical audiences.
  • Able to collaborate closely with engineers and technical teams to design controls as code, configuration, workflow, or monitoring instead of relying only on policy documents and manual checklists.
  • Strong systems thinker who can break ambiguous governance problems into workable operating models, measurable outcomes, and implementation steps.
  • Comfortable balancing strategic design work with operational execution when the program needs direct hands-on support.
  • Someone who improves process quality, identifies gaps between teams, and drives implementation of better ways of working.
  • Comfortable leveraging AI tooling and automated workflows to increase scale and velocity.

ย Nice To Have:

  • Experience with scaling a unified control framework across multiple governance and compliance frameworks
  • Experience with continuous control monitoring, policy-as-code, or GRC platforms and evidence tooling.
  • Familiarity with AI governance or emerging technology risk, especially where governance needs to be translated into practical technical guardrails.

The national total targetย cash compensation range for this position, including base salary and bonus target, is $165,000-$210,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).ย