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Remote Gcp Data Engineer Jobs in Colorado (NOW HIRING)

None Potential for Remote Work: ORA_ON_SITE Description ๏ปฟSAIC is seeking an experienced Principal ... Work with engineers across disciplines (DevSecOps, software, data) to build secure pipelines and ...

Senior Sales Engineer, Enterprise Air

Denver, CO ยท Remote

$107K - $147K/yr

Remote- travel up to 50% of time Reports to : Sr. Director, Sales Engineering Profile of Success ... Cloud environments (AWS, Azure, GCP) and architectures * Integrating AI to deliver value SaaS-based ...

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services ... This position is responsiblefor sensor operation, data processing, and reporting for airborne ...

Software Engineer

Aurora, CO ยท On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245493 Location: Aurora,CO,US Share job via: Share Software Engineer ... Your work will shape how data is processed, how systems communicate, and how mission teams execute ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior Full Stack Cloud ... Create event-driven applications and integrate with data pipelines, analytics, and ingestion ...

Software Engineer

Aurora, CO ยท On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0241805 Location: Aurora,CO,US Share job via: Share Software Engineer ... Your work will shape how data is processed, how systems communicate, and how mission teams execute ...

Showing results 41-60

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 job categories do people searching Remote Gcp Data Engineer jobs in Colorado look for? The top searched job categories for Remote Gcp Data Engineer jobs in Colorado 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:
Infographic showing various Remote Gcp Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Integration Engineer (Epic Integration Specialist)

Matrix Analytics, Inc.

Denver, CO โ€ข On-site, Remote

Full-time

Medical, PTO

Re-posted yesterday


Job description

Work with the Industry Leader

At Eon, our mission is to make patients healthier and healthcare affordable. Eon Patient Management, or EPM as we like to call it, identifies patients with disease risk and streamlines clinical decision analysis so clinicians can work at the top of their licenses. With unique solutions across multiple disease states, we drive unprecedented adherence to care pathways, so that more patients are seen and more survive. When patients win, healthcare systems win - both clinically and financially.


As a market leader in incidental tracking and patient management, Eon is pioneering the use of Artificial Intelligence to enable healthcare enterprises, ranging from small health systems to large, national-scale IDN's. We have a unique and dynamic team that is focused on results, and employment opportunities both local to our Denver office, and remote based.


The Opportunity

Eon is looking for an experienced Integration Engineer with a strong background in healthcare system integrations, specifically focused on deep Epic EHR integrations and navigating Epic vendor services. The ideal candidate will have deep expertise in .NET (C#), a solid understanding of healthcare interoperability standards (HL7/FHIR), and hands-on experience working within AWS-hosted environments to deliver robust, enterprise-level patient data pipelines.

As an Integration Engineer (Epic Integration Specialist) you will:

  • Design, develop, and maintain deep integrations specifically with Epic EHR systems to ensure seamless, real-time data exchange and workflow interoperability.
  • Implement and optimize HL7, FHIR, and Epic-specific APIs to streamline healthcare data exchange standards across client environments.
  • Manage Epic Vendor Services, including configuring applications within the Epic App Market, collaborating with health systems' Epic Technical Services (TS) teams, and managing developer portal environments.
  • Collaborate closely with product managers, developers, and QA teams to understand complex Epic integration requirements and deliver high-quality, scalable solutions.
  • Build and manage APIs, Epic Interconnect, and middleware for secure, low-latency, and efficient data transfer between external systems and Eon platforms.
  • Troubleshoot and resolve complex integration issues, ensuring maximum uptime, system reliability, and peak performance.
  • Monitor and improve the scalability of existing Epic and multi-EHR integrations.
  • Ensure strict compliance with healthcare data privacy and security regulations, including HIPAA.
  • Document technical specifications, integration workflows, and vendor service mappings for internal and client-facing engineering teams.
  • Apply data engineering principles to design and implement ETL pipelines for transforming and loading Epic-derived data into our analytics platforms.


You will be a good fit if you have:

  • Experience with microservices architecture within highly distributed environments.
  • Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform or CloudFormation).
  • Certification in AWS (e.g., AWS Certified Solutions Architect or AWS Certified Developer).
  • Experience with modern data engineering tools and data pipeline frameworks.
  • Strong analytical and problem-solving skills when untangling complex vendor workflows.
  • Excellent verbal and written communication skills for managing technical relationships with health system IT teams.
  • Ability to work collaboratively in a high-energy, cross-functional team environment.


Qualifications and Skills:

  • 4+ years of experience in healthcare system integrations, with a dedicated focus on deep Epic platform integration (e.g., Epic Bridges, Care Everywhere, Epic on FHIR) and navigating Epic vendor services.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Proficient in .NET (C#) development.
  • Demonstrated experience designing and deploying integration solutions in cloud environments, preferably AWS.
  • Hands-on experience with core AWS services (e.g., Lambda, API Gateway, S3, RDS, ECS).
  • Deep understanding of healthcare interoperability standards, including HL7 (v2/v3), FHIR, CCD, and CDA.
  • Familiarity with database technologies, spanning both SQL and NoSQL environments.
  • Extensive experience working with RESTful and SOAP APIs for enterprise data exchange.
  • Solid understanding of data engineering concepts such as ETL pipelines, data transformation, and data modeling.


"So what's in it for me," you ask?

We pride ourselves for being a culture-based company buzzing with high-energy. Aside from the enthusiastic environment, you'll enjoy:

  • Competitive salary
  • Health insurance
  • Referral bonuses
  • Unlimited vacation time
  • Paid Parental leave
  • Professional development and career growth opportunities
  • Awesome team members!



Check us out at eonhealth.com!


If we still have your attention, don't delay, send us your resume.

The pay range for this position in Colorado is USD 120,000 to 130,0000 (yr base pay); however, base pay offered may vary depending on job-related knowledge, skills, and experience. This information is provided per the Colorado Equal Pay Act. Base (CEPA) pay information is based on market location.


EON is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. Our culture celebrates diversity and we are committed to creating an inclusive environment for all team members.