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

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... work, learn, and communicate. From measuring and analyzing connectivity to driving industry ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data ... work, learn, and communicate. From measuring and analyzing connectivity to driving industry ...

New

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Hands-on work with orchestration tools * Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Hands-on work with orchestration tools * Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud ...

Pearson

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Data Engineer III Location: Denver, CO Hybrid (US) Team: Global Data Platform Engineering ... This role will work across Data Products / Data 360s and other strategic data initiatives utilizing ...

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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 10, 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 July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

Data Engineer

Ookla

Denver, CO • On-site, Remote

$85K - $125K/yr

Full-time

Posted 4 days ago

Job description

Description
The Opportunity:
We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.
Key Responsibilities:
  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:
  • Bachelor's degree in Computer Science or related field or equivalent experience
  • 1+ year of professional experience in data engineering
  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling
  • Workflow orchestrators (Dagster, Airflow, Prefect)
  • Experience working with Python
  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:
  • ETL/ELT design patterns
  • Experience with AWS cloud services
  • Experience with high volume distributed data processing in Spark

About
Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.
Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.
About Accenture
Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
Compensation Range
Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

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