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Remote Data Engineer Jobs in Boulder, CO (NOW HIRING)

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 ... Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through ...

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 ...

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 ... Act as a technical thought leader, advocating for modern data engineering patterns, tools, and ...

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Graph Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

The role is for a Graph Data Engineer / SPARQL Developer, focusing on leveraging semantic web technologies and graph databases within a telecom network architecture context. This position involves ...

Senior Data Engineer

Boulder, CO · Remote

$100K - $140K/yr

The Data Engineer plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines ...

Senior Data Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

The Data Engineer plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines ...

Director of Data Engineering

Denver, CO · Remote

$117K - $141K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... engineer faster and more reliably. You'll own our large-scale analytics platform and web app ...

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

Senior Manager, Data Engineering

Denver, CO · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

Cloud Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

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

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Remote Data Engineer information

See Boulder, CO salary details

$46.8K

$136.5K

$186.8K

How much do remote data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote data engineer in Boulder, CO is $136,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $144,700.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Boulder, CO? The most popular types of Data Engineer jobs in Boulder, CO are:
What are popular job titles related to Remote Data Engineer jobs in Boulder, CO? For Remote Data Engineer jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Boulder, CO look for? The top searched job categories for Remote Data Engineer jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Remote Data Engineer jobs? Cities near Boulder, CO with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Boulder, CO as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,535 per year, or $65.6 per hour.

$130K/yr

Other

Re-posted 17 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).