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Geospatial Data Engineer Remote Jobs in Clifton, NJ

4 Staffing Corp

Data Engineer (Financial Services)

Newark, NJ · On-site +1

$119K - $143K/yr

Hybrid onsite/remote - Newark, NJ * No visa sponsorship or C2C at this time Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$160K - $180K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · Remote

$160K - $180K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ...

Lakeview Loan Servicing

Lead Data Engineer

Manhattan, NY · Remote

$220K - $260K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ...

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Citizens

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Citizens

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

NAVA Software Solutions

Kafka Engineer - Remote

Jersey City, NJ · On-site +1

$61 - $80.75/hr

Kafka Admin/Engineer Location: Remote Duration: 6-12 months This person will be responsible for ... Design / Implement Kafka producers/consumers for high-throughput, low-latency data processing in a ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

BDO

Lead Data Engineer - Tax Product Development

Manhattan, NY · On-site +1

$126K - $151K/yr

The Lead Data Engineer, Tax Product Development, works with the Data Engineering and Integration ... Ability to work well in hybrid and remote environments * Solid verbal and written communication ...

NinjaOne

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

247Protas

Software Engineer

Manhattan, NY · Remote

$150K - $215K/yr

Remote -- United States. This role sits at the intersection of engineering and private capital markets. You'll help build a cloud-based analytics and data platform used by investment firms to ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

247Protas

Software Engineer

Manhattan, NY · Remote

$150K - $215K/yr

Remote -- United States. This role sits at the intersection of engineering and private capital markets. You'll help build a cloud-based analytics and data platform used by investment firms to ...

247Protas

Senior Software Engineer

Manhattan, NY · Remote

$150K - $215K/yr

Remote -- United States. This role sits at the intersection of engineering and private capital markets. You'll help build a cloud-based analytics and data platform used by investment firms to ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Clifton, NJ

Geospatial Data Engineer Remote information

See Clifton, NJ salary details

$45.8K

$133.5K

$182.6K

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

As of Sep 6, 2026, the average yearly pay for geospatial data engineer remote in Clifton, NJ is $133,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $141,500.00 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 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Clifton, NJ?

For Geospatial Data Engineer Remote jobs in Clifton, NJ, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Clifton, NJ look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Clifton, NJ are:

What cities near Clifton, NJ are hiring for Geospatial Data Engineer Remote jobs?

Cities near Clifton, NJ with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Data Engineer (Financial Services)

4 Staffing Corp

Newark, NJ • On-site, Remote

$119K - $143K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer (Financial Services)

Newark, New Jersey, United States

About the Job

Data Engineer (Fixed Income Capital Markets)

  • Full-time, direct employment
  • Hybrid onsite/remote - Newark, NJ
  • No visa sponsorship or C2C at this time

Job Description:

Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their dynamic team. The ideal candidate will possess a strong technical background in data engineering, with specific experience in containerization, Python API development, streaming/messaging systems, and capital markets within Fixed Income.

Responsibilities:

  • Containerization Expertise: Demonstrated proficiency in working with containerization technologies like ECS (Amazon Elastic Container Service) or Docker. Experience in deploying, managing, and scaling containerized applications in a production environment is essential.
  • Python API Development: Extensive experience in developing APIs using Python, with a focus on building scalable and efficient data pipelines. Knowledge of Snowflake Snowpark coding is highly desirable, including the ability to leverage Snowpark for data processing tasks.
  • Streaming and Messaging Systems: Strong understanding and practical experience with streaming platforms such as Kafka or Kinesis. Ability to design, implement, and optimize data streaming pipelines for real-time data processing and analysis.
  • Fixed Income Capital Markets: In-depth understanding of capital markets within Fixed Income, including bond markets, interest rates, credit products, and related financial instruments. Experience working with financial data and analytics in a Fixed Income context is highly preferred.
  • Data Engineering: Collaborate with cross-functional teams to design, build, and maintain data pipelines, ETL processes, and data warehouses. Ensure data quality, reliability, and scalability across various data sources and systems.
  • Problem Solving and Innovation: Proactively identify opportunities for process improvement, automation, and optimization within the data engineering infrastructure. Drive innovation by implementing best practices and emerging technologies in data engineering.
  • Communication and Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand requirements, gather feedback, and deliver impactful data solutions. Excellent communication skills are essential for effectively conveying technical concepts to non-technical audiences.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field.
  • Strong programming skills in Python, with experience in API development and data manipulation.
  • Hands-on experience with containerization technologies like ECS or Docker.
  • Familiarity with Snowflake Snowpark for data processing tasks is a plus.
  • Proficiency in streaming/messaging systems such as Kafka or Kinesis.
  • Solid understanding of capital markets, particularly within Fixed Income.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services is advantageous.
  • Strong problem-solving skills, attention to detail, and a passion for continuous learning and improvement.

This is an exciting opportunity for a Data Engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies to drive innovation in Fixed Income Capital Markets. If you have the required skills and experience, we invite you to apply for immediate consideration.

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