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Data Engineer Gcp Data Engineer Jobs in Merced, CA

Bespoke Labs

Data Engineer

Merced, CA · On-site

$121K - $146K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

3K Technologies

Multiple Positions

Merced, CA · On-site

$135K/yr

Job 1: Data Engineer: Analyze, design, and develop software systems and applications to handle large data sets using big data technologies; gather and analyze requirements; design and implement ...

Element Materials Technology

Data Processor

Merced, CA · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Bespoke Labs

Machine Learning Engineer

Merced, CA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

Reed International

Mechanical Engineer

Hickman, CA

$45 - $50/hr

Research and analyze customer design proposals, specifications, manuals, or other data to evaluate ... Provide feedback to design engineers on customer problems or needs. * Oversee installation ...

Reed International

Mechanical Engineer

Hickman, CA

$45 - $50/hr

Research and analyze customer design proposals, specifications, manuals, or other data to evaluate ... Provide feedback to design engineers on customer problems or needs. * Oversee installation ...

Reed International

Mechanical Engineer

Hickman, CA · On-site

$45 - $50/hr

Research and analyze customer design proposals, specifications, manuals, or other data to evaluate ... Provide feedback to design engineers on customer problems or needs. * Oversee installation ...

Reed International

Mechanical Engineer

Hickman, CA

$45 - $50/hr

Research and analyze customer design proposals, specifications, manuals, or other data to evaluate ... Provide feedback to design engineers on customer problems or needs. * Oversee installation ...

Transdev

Test Engineer L3

Atwater, CA

Test Engineer Lead shall manage and execute test programs, analyze and interpret results ... Preparing the necessary environment for testing, which may include hardware, software, and data.

Transdev

Test Engineer L3

Atwater, CA · On-site

Test Engineer Lead shall manage and execute test programs, analyze and interpret results ... Preparing the necessary environment for testing, which may include hardware, software, and data.

MGA Research Corporation

Test Engineer - CA

Hughson, CA · On-site

$71K/yr

Engineering Responsibilities Daily roles include customer interaction, high-level problem solving, and data analysis. * Collaborate with related MGA facilities to maintain consistent operating ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Merced, CA

Data Engineer Gcp Data Engineer information

See Merced, CA salary details

$47K

$137K

$187.4K

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

As of Jul 28, 2026, the average yearly pay for data engineer gcp data engineer in Merced, CA is $136,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $145,200.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as a GCP Data Engineer, and why are they important?

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 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 job categories do people searching Data Engineer Gcp Data Engineer jobs in Merced, CA look for? The top searched job categories for Data Engineer Gcp Data Engineer jobs in Merced, CA are:
What cities near Merced, CA are hiring for Data Engineer Gcp Data Engineer jobs? Cities near Merced, CA with the most Data Engineer Gcp Data Engineer job openings:
Data Engineer Gcp Data Engineer jobs near you

Data Engineer

Bespoke Labs

Merced, CA • On-site

$121K - $146K/yr

Full-time

Posted 10 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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