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Data Engineer Gcp Data Engineer Jobs in Colorado

Data Engineer

Thornton, CO

$115K - $138K/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

Aurora, CO

$116K - $139K/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

Denver, CO

$117K - $141K/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

Fort Collins, CO

$114K - $137K/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

Fort Collins, CO · On-site

$114K - $137K/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

Thornton, CO · On-site

$115K - $138K/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

Colorado Springs, CO

$110K - $133K/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

Greeley, CO · On-site

$110K - $132K/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

Greeley, CO

$110K - $132K/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

Aurora, CO · On-site

$116K - $139K/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

Denver, CO · On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required Skills - SQL Developer, Snowflake Nice to have skills - Python, DB scripting Job Summary • Data ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

... Data Engineer - Cloud position include: * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on ...

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines and ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Job Title: Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering ... GCP and BigQuery experience preferred. * Build, maintain, and optimize data models and dimensional ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

GCP and BigQuery experience preferred. * Build, maintain, and optimize data models and dimensional ... Lead and mentor other data engineers to follow the team's evolving data engineering standards and ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

GCP and BigQuery experience preferred. * Build, maintain, and optimize data models and dimensional ... Lead and mentor other data engineers to follow the team's evolving data engineering standards and ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you ...

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

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Showing results 21-40

Data Engineer Gcp Data Engineer information

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?

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.
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$115K - $138K/yr

Full-time

Re-posted 21 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