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Work From Home Data Engineer Jobs in Colorado (NOW HIRING)

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team ... workflows from on-premise to AWS cloud, ensuring data quality and consistency. • Design ...

GIA Legacy Planning

Remote Position/ Work from Home Job Type: Full-Time/Part-Time Compensation: Uncapped Commission-Based About Us: Step into a career that plays to win. We're looking for licensed Life and Health ...

GIA Legacy Planning

Remote Position/ Work from Home Job Type: Full-Time/Part-Time Compensation: Uncapped Commission-Based About Us: Step into a career that plays to win. We're looking for licensed Life and Health ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team ... workflows from on-premise to AWS cloud, ensuring data quality and consistency. • Design ...

GIA Legacy Planning

Remote Position/ Work from Home Job Type: Full-Time/Part-Time Compensation: Uncapped Commission-Based About Us: Step into a career that plays to win. We're looking for licensed Life and Health ...

GIA Legacy Planning

Remote Position/ Work from Home Job Type: Full-Time/Part-Time Compensation: Uncapped Commission-Based About Us: Step into a career that plays to win. We're looking for licensed Life and Health ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Must be eligible to work on W2 without sponsorship. Not eligible for C2C. * Pay Rate: $70-$80/hr ... data products from development through production. Translate solution designs and business ...

Viasat, Inc.

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Your work will power access to data for a variety of use-cases, be it real-time stream processing ... The day-to-day In this Software Engineer role, you will own core components of data ingestion and ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior Data Engineer for a ...

Janus Henderson Investors

Data Engineer

Denver, CO · On-site +1

$169K/yr

Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter ... Position may be eligible to receive an annual discretionary bonus award from the profit pool. The ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Must be eligible to work on W2 without sponsorship. Not eligible for C2C. * Pay Rate: $85-$95/hr ... from diverse internal and external sources. Apply advanced data modeling techniques, including Data ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

Must be eligible to work on W2 without sponsorship. Not eligible for C2C. * Pay Rate: $60-$70/hr ... Design, build, and maintain complex data pipelines from development through production for multiple ...

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All JobsData Engineer JobsWork From Home Data Engineer JobsWork From Home Data Engineer Jobs in Colorado

Work From Home Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do work from home data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for work from home data engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Work From Home Data Engineer, you need strong programming skills (typically in Python, SQL, or Scala), a solid understanding of data modeling, and a degree in computer science or a related field. Familiarity with data engineering tools like Apache Spark, Hadoop, ETL frameworks, and cloud platforms such as AWS or Azure, along with relevant certifications, is highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication are essential soft skills for remote collaboration. These skills are crucial for building reliable data pipelines, ensuring data quality, and contributing effectively to distributed teams.

How do remote data engineers typically collaborate with team members and stakeholders?

Remote Data Engineers usually rely on a combination of communication and project management tools, such as Slack, Zoom, Jira, and GitHub, to stay connected with their teams. Regular virtual meetings, code reviews, and shared documentation help ensure alignment on project goals and data solutions. Collaboration often involves working closely with data analysts, software engineers, and product managers to understand requirements, design robust data pipelines, and troubleshoot issues. Proactive communication and strong documentation skills are essential for success in a distributed environment.

What does a work from home data engineer do?

A Work From Home Data Engineer is responsible for designing, constructing, and maintaining systems and architecture that allow organizations to collect, store, and analyze large amounts of data. Working remotely, they build and manage data pipelines, ensure data quality, and collaborate with other teams to support data-driven decision-making. These engineers often use programming languages like Python or SQL and work with cloud platforms to process and manage data securely from their home offices.

What is the difference between Work From Home Data Engineer vs Data Analyst?

AspectWork From Home Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, technical teams, cloud platformsRemote or on-site, business teams, reporting tools
Employer & Industry UsageTech, finance, healthcare companiesMarketing, retail, finance sectors

Work From Home Data Engineers focus on building data pipelines and managing data infrastructure, requiring technical skills and cloud platform experience. Data Analysts interpret data to generate insights, often using reporting tools. While both roles can be remote and involve data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Work From Home Data Engineer jobs in Colorado? For Work From Home Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Work From Home Data Engineer jobs in Colorado look for? The top searched job categories for Work From Home Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Work From Home Data Engineer jobs? Cities in Colorado with the most Work From Home Data Engineer job openings:
Work From Home Data Engineer jobs near you
Infographic showing various Work From Home Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 13 days ago

Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight

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