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Remote Data Platform Engineer Jobs in Colorado (NOW HIRING)

Alignerr

Data Platform Engineer (Python)

Denver, CO · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... This is a fully remote, flexible contract role for experienced engineers who want to work on real ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure ...

Sovrn

Principal Engineer (Data Platform)

Boulder, CO · On-site +1

As Principal Engineer, Data Platform you will be responsible for leading the hands-on engineering for real time and batch data pipelines. Data software engineering includes designing, building ...

Forge Global

Staff Platform Engineer

Denver, CO · On-site +1

$150K - $170K/yr

... data-driven decisions. To succeed in the Staff Platform Engineer role at Forge, you'll leverage ... This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we ...

Sovrn

Principal Data Engineer

Boulder, CO · On-site +1

$140K - $187K/yr

Data Platform & Architecture * Own the design and evolution of data platform systems that operate ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

CampMinder

Senior AI Platform Engineer

Boulder, CO · On-site +1

$110K - $151K/yr

Senior AI Platform Engineer Boulder, CO or remote Ideal start timeline: July 2026 Role status: Exempt Compensation: Our target hiring range is $175,000-$215,000 plus participation in our Annual Bonus ...

VDURA

Systems Engineer, Platform

Niwot, CO · On-site +1

... systems engineering, or platform architecture roles * Strong hands-on experience specifying ... remote location. VDURA Culture & Values At VDURA, we're committed to transforming data into the ...

VDURA

Systems Engineer, Platform

Longmont, CO · On-site +1

... systems engineering, or platform architecture roles * Strong hands-on experience specifying ... remote location. VDURA Culture & Values At VDURA, we're committed to transforming data into the ...

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Showing results 1-20

All JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Colorado

Remote Data Platform Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do remote data platform engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote data platform 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 is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Colorado? The most popular types of Data Platform Engineer jobs in Colorado are:
What are popular job titles related to Remote Data Platform Engineer jobs in Colorado? For Remote Data Platform Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Colorado look for? The top searched job categories for Remote Data Platform Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Platform Engineer jobs? Cities in Colorado with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you

Data Platform Engineer (Python)

Alignerr

Denver, CO • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Platform Engineer (Python)
About the Role
What if your Python expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role for experienced engineers who want to work on real production systems - not toy projects - at the cutting edge of AI development.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-grade fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production Python for data engineering
  • Proficient with workflow orchestration tools for managing complex dependency graphs
  • Experienced with dataframe processing libraries and cloud data warehouse integrations via Python SDKs
  • Able to commit 20-40 hours per week with reliability and consistency
Nice to Have
  • Prior experience with data annotation, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
Why Join Us
  • Work directly with leading AI labs on systems that influence how next-generation models are built
  • Fully remote and flexible - work from anywhere, on a schedule that suits you
  • Tackle genuinely hard, high-impact engineering problems - not maintenance tickets
  • Collaborate with a sharp, distributed team of engineers and researchers
  • Potential for ongoing work and contract extension as new projects launch

Apply