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Geospatial Data Engineer Remote Jobs in Pittsburgh, PA

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... We are experts in manufacturing data architectures and MES solutions. In our solutions we use open ...

Troutman Pepper

Senior Data Engineer

Pittsburgh, PA · 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 ...

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Epistemix

Synthetic Population Engineer

Pittsburgh, PA · Remote

Working with geospatial data. * Working with simulation or machine learning models. * Demonstrate ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Ideology

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

... cloud data engineering, with demonstrated ownership of architecture decisions. * Hands-on ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Larson Design Group

GIS Analyst

Cranberry Township, PA · On-site +1

$50K - $73K/yr

About Us Larson Design Group (LDG) is an award-winning, employee-owned Architecture, Engineering ... Performs advanced geospatial data manipulation, management, and analysis to support a wide range of ...

Larson Design Group

GIS Analyst

Cranberry Township, PA · Remote

$50K - $73K/yr

About Us Larson Design Group (LDG) is an award-winning, employee-owned Architecture, Engineering ... Performs advanced geospatial data manipulation, management, and analysis to support a wide range of ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

... cloud data engineering, with demonstrated ownership of architecture decisions. * Hands-on ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Pittsburgh, PA

Geospatial Data Engineer Remote information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

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 Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 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 the most commonly searched types of Geospatial Data Engineer jobs in Pittsburgh, PA? The most popular types of Geospatial Data Engineer jobs in Pittsburgh, PA are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Pittsburgh, PA? For Geospatial Data Engineer Remote jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Pittsburgh, PA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Geospatial Data Engineer Remote jobs? Cities near Pittsburgh, PA with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Sr. Data Engineer (Snowflake)

Sr. Data Engineer (Snowflake)

Data Ideology

Pittsburgh, PA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients.  Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results.  Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.  For more information about Data Ideology, visit www.dataideology.com.
Sr. Data Engineer -  (Snowflake)
Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.
This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.  Other duties may be assigned to meet business needs.

  • Design and build scalable, secure, and cost-effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.
Supervisory Responsibilities: None
Qualifications:
Education and Experience:
  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client-facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers.  Must be able to exchange accurate information in these situations.
Benefits:
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer

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