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Data Engineer Gcp Data Engineer Jobs in Madison, NJ

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP. * Strong understanding of data ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

... AWS, or GCP), including automation of deployments, patching, and monitoring; develop and maintain CI/CD workflows for data engineering solutions; collaborate with data scientists and analysts to ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Platform Architecture & Pipeline Engineering Design & Build Develop robust, scalable, and automated Lambda/Kappa data pipelines for both batch and real-time streaming data using GCP Dataflow ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

... AWS, or GCP), including automation of deployments, patching, and monitoring; develop and maintain CI/CD workflows for data engineering solutions; collaborate with data scientists and analysts to ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... GCP/Azure) * - NoSQL databases Expert (12+ years) Mandatory Skills: * - Big Data architecture ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Summary : Damco Solutions is seeking a Data Engineer to join their team. The primary ... GCP), and/or on-prem (MS SQL, SSIS, Oracle). • Proficiency working with data tools/platforms ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable ... Experience with cloud platforms such as Azure, AWS, or GCP, including integration with Snowflake ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Advanced knowledge of working with public clouds (e.g., AWS, GCP) Additional Job details The base ...

Data Engineer

New York, NY · On-site +1

$105K - $145K/yr

Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar). * Experience working data ...

Data Engineer

New York, NY · On-site

$105K - $145K/yr

Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar). * Experience working data ...

Google Senior Data Engineer

New York, NY · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a Data Engineer to build and maintain data pipelines, ensuring reliable data ... GCP, or Azure) and columnar/analytical databases • Track record working with messy, real-world ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer will lead the design and implementation of scalable data workflows and ... GCP, Azure, Snowflake). • Develop reproducible workflows using Infrastructure as Code and data ...

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

You will own and evolve our data pipelines on GCP - building new ones, hardening existing ones ... You'll partner with ML engineers on feature pipelines, monitoring data drift, and keeping models ...

Data Engineer AIML

New York, NY · On-site

$125K - $150K/yr

... AWS, or GCP Experience with ETL/ELT frameworks and large-scale data processing Knowledge of ... Data Engineering Excellence Build scalable, reliable, and high-performance data solutions Cloud ...

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases

Showing results 21-40

Data Engineer Gcp Data Engineer information

See Madison, NJ salary details

$45.9K

$133.7K

$183K

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

As of Aug 19, 2026, the average yearly pay for data engineer gcp data engineer in Madison, NJ is $133,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,700.00 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 Madison, NJ look for?

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

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

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

Data Engineer

SmartIPlace

Jersey City, NJ • On-site

$119K - $143K/yr

Contractor

Re-posted 17 days ago


Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Data Engineer

Must Have Qualifications:
  • Strong hands-on experience in Data Engineering and enterprise-scale data integration.

  • Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.

  • Strong SQL expertise with programming experience in Python, PySpark, or Snowpark.

  • Experience with dbt (Data Build Tool) for data transformation, modeling, ELT pipeline development, testing, documentation, and version control.

  • Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP.

  • Strong understanding of data lake, data warehouse, and lakehouse architectures.

  • Experience with orchestration tools such as Airflow, Databricks Workflows, or Snowflake Tasks.

  • Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.

  • Familiarity with metadata management, data lineage, data cataloging, and data quality processes.

  • Experience integrating APIs, batch file ingestion, and real-time streaming technologies such as Kafka or Spark Streaming.

  • Knowledge of enterprise security, governance, RBAC, encryption, and data masking.

  • Experience working in Agile and DevOps environments with CI/CD pipelines.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Schedule: Standard

Position Overview

We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud-based data platforms, modern data engineering practices, enterprise data integration, and Master Data Management (MDM). This role will support operational, analytical, and regulatory data initiatives while delivering secure, reliable, and scalable data solutions.

Responsibilities
  • Design, develop, and support scalable data pipelines and enterprise data integration solutions.

  • Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.

  • Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.

  • Implement ETL/ELT processes for structured, semi-structured, and unstructured data sources.

  • Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.

  • Collaborate with architects, business analysts, governance teams, and application teams to deliver enterprise data solutions.

  • Implement data quality validation, monitoring, metadata management, and data lineage processes.

  • Support cloud migration and modernization initiatives involving legacy and enterprise data platforms.

  • Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.

  • Ensure compliance with enterprise security, governance, and regulatory standards.

  • Support reporting, analytics, and downstream data consumption through reliable data delivery.

Preferred Skills
  • Financial Services or Banking industry experience.

  • Experience supporting regulatory, risk, compliance, or operational reporting environments.

  • Exposure to real-time data processing and streaming technologies.

  • Familiarity with CI/CD processes and infrastructure automation.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and collaboration abilities.


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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