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Senior Gcp Data Engineer Jobs in Spring, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site

$109K - $131K/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

Data Engineer

The Woodlands, TX · On-site

$104K - $125K/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

Senior Data Engineer ID75059

Houston, TX · On-site

$101K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... AWS , GCP , Snowflake ) and advanced SQL optimization; - Exceptional soft skills with a proven ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning ...

Senior Data Engineer

Pasadena, TX · On-site

$96K - $131K/yr

Position Senior Data Engineer Job Summary As a Senior Data Engineer, you will play a critical role in developing a data platform that allows our Data Scientist and Software Engineers to get from ...

New

Senior Data Engineer

Pasadena, TX · On-site

$96K - $131K/yr

Position Senior Data Engineer Job Summary As a Senior Data Engineer, you will play a critical role in developing a data platform that allows our Data Scientist and Software Engineers to get from ...

New

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

NEED SENIOR CANDIDATES 12+ - 15+ YEARS OF CANDIDATE Required Qualifications * 7-10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus. * Expert ...

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

New

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer ... Experience with cloud platforms AWS Azure GCP * Knowledge of object storage streaming and data ...

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n \n \n N ote: Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build ...

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

About the Role We are seeking a Sr. Data Engineer to design, build, and optimize enterprise data solutions across our Microsoft ecosystem. This role focuses on Microsoft Fabric , Power BI , and Azure ...

Data Engineer

Houston, TX

$109K - $131K/yr

AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g ... AWS Certified Data Engineer, Solutions Architect). * Experience with NoSQL databases. * Familiarity ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g ... AWS Certified Data Engineer, Solutions Architect). * Experience with NoSQL databases. * Familiarity ...

Sr. Data Engineer

Houston, TX · On-site

$101K - $137K/yr

They are seeking a Senior Data Engineer to design and manage data pipelines and architecture that ensure data quality and reliability for autonomous mineral refining operations. Responsibilities ...

Showing results 21-40

Senior Gcp Data Engineer information

See Spring, TX salary details

$72.1K

$112.4K

$155.7K

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

As of Aug 13, 2026, the average yearly pay for senior gcp data engineer in Spring, TX is $112,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a Senior GCP Data Engineer?

Senior GCP Data Engineers are experienced professionals who design, build, and manage data processing systems on Google Cloud Platform (GCP). They are responsible for developing scalable data pipelines, ensuring data quality, and enabling analytics and machine learning solutions. Their work often involves using tools like BigQuery, Dataflow, and Dataproc, as well as programming languages such as Python or SQL. Senior GCP Data Engineers also mentor junior team members and contribute to architectural decisions to ensure best practices in cloud data engineering.

What are some common challenges faced by Senior GCP Data Engineers when migrating legacy data systems to Google Cloud Platform?

Senior GCP Data Engineers often encounter challenges such as ensuring data integrity during large-scale migrations, optimizing performance for cloud-native architectures, and adapting legacy ETL processes to leverage GCP services like BigQuery and Dataflow. Collaborating with cross-functional teams to map business requirements to cloud solutions is also key. Additionally, they must address security and compliance concerns, ensuring data is protected throughout the migration process.

What are the key skills and qualifications needed to thrive as a Senior GCP Data Engineer?

To thrive as a Senior GCP Data Engineer, you need deep expertise in data engineering concepts, SQL, programming languages like Python or Java, and a strong understanding of Google Cloud Platform (GCP) services, usually supported by a bachelor’s degree in computer science or a related field. Familiarity with tools such as BigQuery, Dataflow, Cloud Composer, and relevant GCP certifications like Professional Data Engineer is highly valued. Strong problem-solving, communication, and project management skills set top performers apart, enabling effective collaboration and leadership in complex data projects. These capabilities are crucial for designing scalable data solutions, ensuring data reliability, and driving data-driven decision-making within organizations.

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

AspectSenior Gcp Data EngineerData Scientist
Required CredentialsCloud certifications (GCP), SQL, Python, data engineering skillsStatistics, machine learning, programming (Python/R), advanced degrees often preferred
Work EnvironmentData pipelines, cloud infrastructure, ETL processesData analysis, modeling, research, visualization
Industry UsageData infrastructure, big data projects, cloud-based data solutionsPredictive modeling, insights, data-driven decision making

The main difference is that Senior Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure on GCP, while Data Scientists analyze data to generate insights and models. Both roles require strong technical skills, but their core responsibilities differ significantly.

What are popular job titles related to Senior Gcp Data Engineer jobs in Spring, TX? For Senior Gcp Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Gcp Data Engineer jobs in Spring, TX look for? The top searched job categories for Senior Gcp Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Gcp Data Engineer jobs? Cities near Spring, TX with the most Senior Gcp Data Engineer job openings:

Data Engineer

Bespoke Labs

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 26 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