ZipRecruiter

Log In

1

Data Engineer Gcp Data Engineer Jobs in Maple Shade, NJ

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team. The role involves developing and optimizing complex data pipelines and building scalable AI/ML ...

Reply

Data Engineer

Philadelphia, PA

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Daymark Health

Data Engineer

Philadelphia, PA · On-site

$140K - $160K/yr

WHAT YOU'LL DO At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines ...

Reply

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Redolent, Inc.

US_East | Data Engineer_L3

Philadelphia, PA · On-site

$115K - $138K/yr

Data Engineering & Pipelines • Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred). • Write ...

SITA Switzerland Sarl

Data Engineer

Cedar Brook, NJ · On-site +1

$113K - $136K/yr

PURPOSE As a Data Engineer, you will accelerate new airline onboarding by ingesting heterogeneous airline systems and external sources, and turning them into trusted data for OCCam, SITA's AI-powered ...

Umusic

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

How we LEAD: We are seeking an experienced and driven Senior Data Engineer - Enterprise Data ... Experience with cloud platforms (AWS, Azure, or GCP) and tools like Spark, Snowflake, Databricks ...

Universal Music Group

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

How we LEAD: We are seeking an experienced and driven Senior Data Engineer - Enterprise Data ... Experience with cloud platforms (AWS, Azure, or GCP) and tools like Spark, Snowflake, Databricks ...

VensIT Corp

W2// Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Data Engineer Location : Blue Bell, PA Duration : 1 year Contract REMOTE WORK As a Senior Data Engineer, you will work with the team to build complex data pipelines using a new cutting-edge Data ...

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate will be responsible for troubleshooting data issues, backend ...

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate will be responsible for troubleshooting data issues, backend ...

ASTM International

AI & Data Engineer

Conshohocken, PA · On-site

$100 - $125/hr

The AI & Data Engineer will design, build, and maintain AI and data tools that support the team's research and analysis, help automate the production of intelligence deliverables, and power AI ...

New

Compunnel

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

The Data Engineer will design and build an extensive transaction stitching application that tracks the journey of money flowing through a client's account over the lifetime of funds. The role ...

previous page

Showing results 41-60

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

RIT Solutions, Inc.

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team. The role involves developing and optimizing complex data pipelines and building scalable AI/ML solutions, with a focus on integrating model pipelines and collaborating with data science teams.
Responsibilities:
• We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.
• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
Qualifications:
Required:
• Around 5-8 years of relevant work experience (Machine Learning Engineering).
• At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
• Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
• Robust understanding of cloud technologies, including AWS and Azure.
• Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
Preferred:
• Experience with API design and development is a plus.
• Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply