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Remote Gcp Data Engineer Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

... data pipelines on GCP, AWS, or Azure (GCP preferred) * Strong SQL + Python; Java a plus ... Remote-work environment Equal Opportunity Doowii is an Equal Opportunity Employer and values ...

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

Data Engineer

Denver, CO · On-site +1

$169K/yr

Janus Henderson Investors US, LLC seeks a Data Engineer in Denver, CO responsible for the design ... Remote work permitted 2 days a week. Requirements: Bachelor's degree in Information Systems ...

GCP Cloud Engineer

Denver, CO · Remote

$57.50 - $76.75/hr

Denver, CO - REMOTE -- LOCALS ONLY Duration: 5 Months We are seeking an experienced GCP Cloud Engineer to join our Cloud Infrastructure team. The ideal candidate will be responsible for designing ...

GCP Cloud Engineer JOB REF#:44764 - 13450266 Duration:12 Months (Contract) Location ... REMOTE - Denver, CO Pay Rate:$65.00 (W2 only) or $70.00 (INCORPORATED), (Not accepting 1099 or C2C ...

Senior Software Engineer I

Denver, CO · On-site +1

$189K - $200K/yr

The Role: As our Senior Data Engineer focusing on data engineering, you will play a crucial role ... This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing preferred.

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing preferred.

Remote Principal Software Engineer - Data Architecture and Engineering US-based only | No visa ... or GCP), including cost optimization · Experience with AI/LLM-assisted development tools and ...

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Remote Gcp Data Engineer information

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

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a Remote GCP Data Engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a Remote GCP Data Engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.
What are the most commonly searched types of Gcp Data Engineer jobs in Colorado? The most popular types of Gcp Data Engineer jobs in Colorado are:
What are popular job titles related to Remote Gcp Data Engineer jobs in Colorado? For Remote Gcp Data Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Gcp Data Engineer jobs? Cities in Colorado with the most Remote Gcp Data Engineer job openings:
DATA ENGINEER

$130K/yr

Other

Re-posted 29 days ago


Job description

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability, and building scalable pipelines.

Key Responsibilities

  • Develop and maintain data ingestion pipelines feeding into BigQuery
  • Replace outdated ETL/ELT processes with modern solutions
  • Set up monitoring, alerting, and workflow visibility
  • Contribute to orchestration design and implementation (Airflow, Dagster, Prefect)
  • Support DBT development and CI/CD practices
  • Tune BigQuery performance and manage access/security controls
  • Maintain documentation, data flow diagrams, and catalogs

Required Experience

  • 3+ years in data engineering
  • Strong SQL skills with BigQuery, Snowflake, or Redshift
  • Hands-on work with orchestration tools
  • Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)
  • Experience with DBT, Docker, CI/CD pipelines
  • Ingestion tooling experience (e.g., Fivetran)
  • Knowledge of data governance or SOC 2 standards

Tech Stack Snapshot

BigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog

Compensation

Starting around $130K OTE, adjusted for experience and location.

Location

U.S. remote (limited state availability).