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Data Engineer Gcp Data Engineer Jobs in Maple Shade, NJ

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Pwc

Data Engineer - Senior Manager

Philadelphia, PA · On-site

$124K - $280K/yr

... 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 ...

USCS

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Azure, AWS, or GCP Cloud Platforms * Data Modeling and Data Quality Frameworks * Git and Source ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Azure, AWS, or GCP Cloud Platforms * Data Modeling and Data Quality Frameworks * Git and Source ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Azure, AWS, or GCP Cloud Platforms * Data Modeling and Data Quality Frameworks * Git and Source ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ

$115K - $138K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Azure, AWS, or GCP Cloud Platforms * Data Modeling and Data Quality Frameworks * Git and Source ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Azure, AWS, or GCP Cloud Platforms * Data Modeling and Data Quality Frameworks * Git and Source ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ · On-site

$80 - $100/hr

Our Data Engineering team builds and supports trusted, scalable, and secure data platforms that ... Azure, AWS, or GCP Cloud Platforms * Data Modeling and Data Quality Frameworks * Git and Source ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

The Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and ... Preferred familiarity with GCP cloud services (BigQuery, Dataform, GCE) * Preferred familiarity ...

Aramark

Data Engineer

Philadelphia, PA

$109K - $131K/yr

The Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and ... Preferred familiarity with GCP cloud services (BigQuery, Dataform, GCE) * Preferred familiarity ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

The Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and ... Preferred familiarity with GCP cloud services (BigQuery, Dataform, GCE) * Preferred familiarity ...

Deloitte

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools ... Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Data Engineer to build and maintain data pipelines for processing data from CSV files through various transformation stages. The role involves developing ETL ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Data Engineer responsible for building and maintaining data pipelines that process data from CSV files through various transformation stages. The role requires hands ...

Judge Group, Inc.

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

The Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft Fabric, significantly contributing to the organization ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Position : Data Engineer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing to relocate and be onsite on day 1) Duration : 9 months contract with possible extension ...

Deloitte

Sr Databricks Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Master's degree in Computer Science, Engineering, or a related field Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services Experience tuning and ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Maple Shade, NJ

Data Engineer Gcp Data Engineer information

See Maple Shade, NJ salary details

$44.3K

$129.1K

$176.7K

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 Maple Shade, NJ is $129,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,900.00 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 are popular job titles related to Data Engineer Gcp Data Engineer jobs in Maple Shade, NJ?

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

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

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

Data Engineer Gcp Data Engineer jobs near you
Infographic showing various Data Engineer Gcp Data Engineer job openings in Maple Shade, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,105 per year, or $62.1 per hour.

Data Engineer

Philadelphia, PA • Remote

Arbor
Marketing • 11 - 50 employees
Learn more about Arborexternal

$117K - $140K/yr

Full-time

Re-posted 29 days ago

Job description

About Arbor

Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time—delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing — which means you'll have real ownership over how it evolves, not just tickets to close.

This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.

What You'll Do

Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end — modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.

You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions — rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.

You'll also play a meaningful role in shaping how we use AI in our data workflows — whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.

What You Bring

3–6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).

Strong dbt fundamentals — you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.

Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.

Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.

Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.

An AI-native approach to your own productivity — you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.

Compensation & Work Setup Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.