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Remote Gcp Data Engineer Jobs in Secaucus, NJ (NOW HIRING)

Data Engineer

Manhattan, NY ยท Remote

$70 - $80/hr

Data Engineer Location: Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80/hour W2 Hours: 40 hours/week (EST) Benefits: Eligible for Health, Dental ...

Data Analyst - Automotive

New York, NY ยท Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering ... Experience with Google Cloud Platform (GCP). SQL expertise with proven data extraction and ...

Data Analyst - Automotive

New York, NY ยท Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering ... Experience with Google Cloud Platform (GCP). SQL expertise with proven data extraction and ...

Data Engineering Expertise: * Deep background in large-scale data engineering (terabytes daily ... Familiarity with multi-cloud environments (GCP + AWS). * Expertise in designing and operating ETL ...

Medical Analytics Data Engineer

New York, NY ยท On-site +1

$124K - $207K/yr

... trial design, GCP and data interpretation, drug development, regulatory and promotional rules ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

Data Engineer

Brooklyn, NY ยท Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be ...

Data Engineer-US

New York, NY ยท On-site +1

$125K - $150K/yr

We are seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Data Engineer II

Manhattan, NY ยท Remote

$117K - $140K/yr

Remote (EST hours preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $140-150K 10% bonus Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the ...

Data Engineer II

New York, NY ยท Remote

$120K - $140K/yr

The Data Engineering Team is responsible for building the data infrastructure that underpins our ... AWS, Azure, GCP) * Experience working with large volumes of data, making models performant and ...

New

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Showing results 21-40

Remote Gcp Data Engineer information

See Secaucus, NJ salary details

$45.2K

$131.9K

$180.5K

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

As of Aug 20, 2026, the average yearly pay for remote gcp data engineer in Secaucus, NJ is $131,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What are the most commonly searched types of Gcp Data Engineer jobs in Secaucus, NJ?

The most popular types of Gcp Data Engineer jobs in Secaucus, NJ are:

What are popular job titles related to Remote Gcp Data Engineer jobs in Secaucus, NJ?

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

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

The top searched job categories for Remote Gcp Data Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Remote Gcp Data Engineer jobs?

Cities near Secaucus, NJ with the most Remote Gcp Data Engineer job openings:

Data Engineer

Mondo

Manhattan, NY โ€ข Remote

$70 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


Job description

Title: Data Engineer

Location: Remote (EST hours preferred)

Duration: 4 Month Contract (through end of 2026)

Pay Range: $70-80/hour W2

Hours: 40 hours/week (EST)

Benefits: Eligible for Health, Dental, Vision, 401K

Must be authorized to work in the U.S. This position is not eligible for sponsorship.  

We're looking for a mid-level Data Engineer to join our team during a critical migration and peak season period. This role supports Audience Management — the systems and data that power how we understand and reach our customers/donors across their full journey (email, SMS, direct mail, phone).

You'll join a migration already in progress, moving our legacy data warehouse (Azure MS SQL) into Databricks, which will become the underlying data source for a new segmentation tool we're implementing. Roughly half of our processes have already been migrated — you'll help complete the remaining work while also supporting day-to-day data list pulls during our year-end peak season.

Job Summary:

  • Support and help complete the migration of legacy MS SQL scripts/processes into Databricks

  • Build and maintain dbt models as part of the new Databricks-based data architecture

  • Support Data List pulls for audience segmentation during year-end peak volume

  • Partner with the existing team of 2 data engineers already embedded in the migration

  • Review and validate migrated processes/scripts in collaboration with vendors

  • Help Client the groundwork for a new segmentation tool (currently in procurement/early implementation)

  • Work with data that maps customer/donor journeys — email, SMS, direct mail, and call outreach — to support full 360-degree audience views

Minimum Qualifications:

  • 4–7 years of hands-on data engineering experience 
  • Must have recent experience in the nonprofit industry
  • Strong, solid coding skills with real hands-on experience — not just theoretical
  • Required: hands-on experience with Databricks, SQL, and dbt
  • Experience migrating data warehouses (e.g., legacy SQL environments into Databricks or similar) strongly preferred
  • Comfortable working within an existing architecture and picking up work already in progress alongside other engineers
  • AI-related certifications or experience a plus (e.g., Databricks Genie)

Preferred Qualifications:

  • Prior experience in nonprofit (NFP) organizations, particularly supporting audience management, donor journeys, or fundraising data

  • If no direct NFP background, experience supporting customer/donor journey data (understanding not just the mechanics but the purpose behind journeys — how organizations build and maintain relationships with their audience over time) is valuable. This kind of journey-based audience work exists across nearly every industry, so direct NFP experience isn't required.