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Remote Data Pipeline Jobs in Colorado (NOW HIRING)

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY RESPONSIBILITIES Data Pipeline Design & Delivery * Design, build ...

Build data pipelines, reports, best practices, and frameworks that enable analysts and other ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Build data pipelines, reports, best practices, and frameworks that enable analysts and other ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Advanced hands-on expertise in SQL, including automation and pipeline optimization. Strong ...

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts.

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse ... Work effectively with remote and offshore teams to deliver data platform initiatives. We are ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Build target lists, market maps, competitive scans, and opportunity pipelines. * Analyze data ...

Remote USA - In Tandem Compensation: $100,000 - $140,000 / year DescriptionAt In Tandem, we build ... Production ML pipelines * Train, deploy, and monitor models in Databricks and AWS, using Claude ...

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ... Production ML pipelines * Train, deploy, and monitor models in Databricks and AWS, using Claude ...

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Remote Data Pipeline information

What is the difference between Remote Data Pipeline vs Data Engineer?

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

What cities in Colorado are hiring for Remote Data Pipeline jobs?

Cities in Colorado with the most Remote Data Pipeline job openings:

Infographic showing various Remote Data Pipeline job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer, Senior

Releady

Denver, CO • On-site, Remote

$140K - $170K/yr

Contractor

Posted 24 days ago


Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Senior for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role will report to a Senior Manager or Manager within Data Solutions and will independently design, build, and operate complex data pipelines and cloud data solutions, embedding security, automation, and reliability throughout the software development lifecycle. The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and operational excellence across the organization's data products, and who mentors other engineers while contributing to engineering best practices.

NOTE: *Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

  • Pay Rate: $60–$70/hr
  • Duration: 6-month contract-to-hire
  • Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
RESPONSIBILITIES

Data Pipeline Design & Delivery

  • Design, build, and maintain complex data pipelines from development through production for multiple use cases.
  • Develop efficient, scalable, and cost-effective implementations by leveraging reusable frameworks and patterns.

DevSecOps & Quality Integration

  • Integrate security, automation, and quality controls throughout the software development lifecycle using DevSecOps best practices.
  • Implement and maintain automated testing, validation, and monitoring frameworks for data workflows.
  • Leverage AI-assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality.

Operational Excellence

  • Drive incident management, root cause analysis, and deployment stability.
  • Monitor and manage software configuration changes to proactively address data reliability and customer experience issues.
  • Coordinate sustaining support for multiple data platforms or business processes within a cloud environment.
  • Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization.

Cross-Functional Collaboration & Leadership

  • Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners.
  • Translate complex functional requirements into robust technical designs.
  • Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance.
  • Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery.
QUALIFICATIONS
  • Bachelor's degree or equivalent experience, with a minimum of five years of relevant data engineering experience.
  • Strong hands-on experience with SQL, including scripting and automation.
  • Expertise with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory.
  • Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
  • Solid knowledge of data modeling using Data Vault 2.0, along with data integration, data architecture, warehousing, and data quality.
  • Experience implementing CI/CD pipelines using tools such as Bitbucket or GitHub.
  • Strong understanding of agile delivery methodologies and enterprise cloud integration.
  • Excellent communication skills, with the ability to translate technical solutions for non-technical stakeholders.
  • Experience in healthcare or other regulated environments is preferred; Epic ecosystem exposure is a plus.
  • Awareness of data governance, security standards, and production certification processes.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.