2

Geospatial Data Engineer Remote Jobs in Maryland

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premises infrastructure targeting big data and platform data management (Relational and NoSQL ...

Scientific Programmer

Silver Spring, MD · On-site +1

$78K - $100K/yr

Working with geospatial applications such as QGIS, libraries such as Geospatial Data Abstraction ... Must have a Bachelor's degree in GIS, Remote Sensing, Marine Science, Engineering, Biology ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0242278 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

As a Data Engineer II, you will be a key architect in building and maintaining our specialized ... This specific role is primarily remote, with occasional travel to an office or client site.

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of ... Work Flexibility This role is eligible for full time remote work.

GIS Analyst

California, MD · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a skilled GIS Analyst to ... The role involves developing and validating geospatial data, leading a dispersed analyst team, and ...

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

A Data Engineer I is a junior developer role responsible for supporting the design, development ... Being part of a remote first environment that empowers our employees to build strong personal ...

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

A Data Engineer I is a junior developer role responsible for supporting the design, development ... Being part of a remote first environment that empowers our employees to build strong personal ...

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 ...

Senior Data Engineer

Bethesda, MD · Remote

$105K - $215K/yr

This position will be fully remote. Position Responsibilities As a Senior Data Engineer, you will: * Scope, design, and build scalable, resilient distributed systems * Build product definition ...

next page

Showing results 1-20

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 Maryland? The most popular types of Geospatial Data Engineer jobs in Maryland are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Maryland? For Geospatial Data Engineer Remote jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Maryland look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Maryland are:
What cities in Maryland are hiring for Geospatial Data Engineer Remote jobs? Cities in Maryland with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Engineer (Remote)

Senior Data Engineer (Remote)

CareFirst

Baltimore, MD • Remote

$105K - $143K/yr

Other

Retirement

Posted 4 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

219th of 281 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premises infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.
ESSENTIAL FUNCTIONS:

  • Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using multiple technologies.
  • Interprets data, analyzes results using statistical techniques, and provides ongoing reports.  Executes quantitative analyses that translate data into actionable insights.  Provides analytical and data-driven decision-making support for key projects.  Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
  • Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery.
  • Creates data collection frameworks for structured and unstructured data.
  • Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
  • Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
  • Applies and implements best practices for data auditing, scalability, reliability and application performance.

SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Computer Science, Information Technology or Engineering or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years Experience with database design and developing modeling tools. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling.
Preferred Qualifications:
Python, Azure Data Factory, CICD, Microsoft Azure Cloud stack.
Knowledge, Skills and Abilities (KSAs)

  • Knowledge and understanding of at least one programming language (i.e., SQL, Informatica, Python).
  • Knowledge and understanding of database design and implementation concepts. 
  • Knowledge and understanding of data exchange formats.
  • Knowledge and understanding of data movement concepts.
  • Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems.
  • Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities.
  • Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
     

Salary Range: 99,000 - 196,625

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

#LI-LD1 


What CareFirst BlueCross BlueShield employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom