ZipRecruiter

Log In

1

Data Engineer Gcp Data Engineer Jobs in Brick, NJ

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Experience with cloud platforms (AWS / Azure / GCP) * Knowledge of Big Data technologies (Spark ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Throtle

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

Vision insurance Job Summary Please consider joining our technology team at Throtle as a Big Data Developer. In this role, you will be part of the team that is responsible for transforming and ...

Spartan Technologies, Inc.

Senior Data Architect

Holmdel, NJ · On-site

$75.25 - $100.50/hr

Work with an agile team to deliver and evolve data engineering & services. * Collaborate with team members, IT colleagues and business partners to ensure functional and business specifications are ...

next page

Showing results 1-20

All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Brick, NJ

Data Engineer Gcp Data Engineer information

See Brick, NJ salary details

$48K

$140K

$191.6K

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

As of Sep 8, 2026, the average yearly pay for data engineer gcp data engineer in Brick, NJ is $140,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $148,400.00 per year, depending on experience, location, and employer.

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

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

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

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

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

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

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

Data Engineer Gcp Data Engineer jobs near you

Data Engineer

Qode

NJ • On-site

$116K - $140K/yr

Full-time

Re-posted 10 days ago

Job description

Job Title: Data Engineer - MEM SQL
Location: New Jersey / Irving, TX / Tampa, FL
Job Description:
We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.
Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
  • Optimize database performance, queries, and data models
  • Collaborate with data scientists, analysts, and application teams to support data needs
  • Ensure data quality, reliability, and security across data platforms
  • Monitor and troubleshoot data pipeline and system issues
  • Support data migration and integration activities

Required Skills:
  • Strong experience as a Data Engineer
  • Hands-on experience with MEM SQL (SingleStore)
  • Strong SQL skills and database optimization experience
  • Experience with ETL tools and data pipeline frameworks
  • Knowledge of data modeling and data warehousing concepts
  • Experience working with large datasets and real-time data processing

Preferred Skills:
  • Experience with cloud platforms (AWS / Azure / GCP)
  • Knowledge of Big Data technologies (Spark, Kafka, etc.)
  • Telecom domain experience (preferred, not mandatory)

Apply