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Freelance Data Engineer Jobs in Colorado (NOW HIRING)

Alignerr

C# Infrastructure Engineer - Data Pipelines

Denver, CO · Remote

$117.90K - $141.50K/yr

C# Infrastructure Engineer - AI Data Pipelines About the Role What if your C# skills could directly ... Freelance autonomy with the substance of meaningful, senior-level engineering work * Be at the ...

Alignerr

Lead Backend Engineer - AI Tooling

Denver, CO · Remote

Collaborate with data, research, and engineering teams to support model training and evaluation ... Freelance autonomy with the depth and challenge of high-stakes engineering work * Make a tangible ...

Alignerr

Lead Backend Engineer - AI Tooling

Denver, CO · Remote

Collaborate with data, research, and engineering teams to support model training and evaluation ... Freelance autonomy with the depth and challenge of high-stakes engineering work * Make a tangible ...

Alignerr

Backend & Tooling Engineer (Rust)

Denver, CO · Remote

You'll be embedded in real engineering workflows, solving hard systems problems alongside data ... Freelance autonomy with meaningful, technically challenging work * Potential for ongoing engagement ...

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Freelance Data Engineer information

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$46.8K

$136.4K

$186.6K

How much do freelance data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for freelance 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 is a Freelance Data Engineer job?

A Freelance Data Engineer is a self-employed professional who designs, builds, and maintains data systems for clients on a project basis. They work with databases, ETL pipelines, cloud platforms, and big data technologies to ensure efficient data storage and processing. Unlike full-time employees, freelancers have the flexibility to choose projects, set their own schedules, and work remotely. They may collaborate with data scientists, analysts, and engineers to ensure seamless data flow. Freelance Data Engineers need strong technical skills in SQL, Python, Spark, and cloud services like AWS, GCP, or Azure.

What are the key skills and qualifications needed to thrive in the Freelance Data Engineer position, and why are they important?

To thrive as a Freelance Data Engineer, you need strong programming skills (in languages like Python or Scala), in-depth knowledge of data modeling and ETL processes, and a solid background in databases and cloud platforms. Familiarity with tools such as Apache Spark, Hadoop, SQL, AWS, or Google Cloud, as well as relevant certifications like AWS Certified Data Analytics, is highly beneficial. Strong communication, project management, and problem-solving skills help you collaborate with clients and adapt to changing project requirements. These abilities are crucial for efficiently delivering tailored data solutions and building a reputable freelance business.

What types of projects and clients can a Freelance Data Engineer expect to work with?

Freelance Data Engineers often work on diverse projects ranging from building custom data pipelines and automating workflows to migrating databases or developing data integration solutions for businesses of all sizes. Clients can include startups looking to build new data infrastructure, e-commerce companies seeking analytics solutions, or established enterprises aiming to modernize their data systems. Most projects require close collaboration with data scientists, analysts, or software engineering teams, and the scope can vary from short-term assignments to ongoing support. Freelancing provides flexibility to choose projects that match your expertise and interests, as well as opportunities to gain experience across multiple industries.
More about Freelance Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Colorado? The most popular types of Data Engineer jobs in Colorado are:
What are popular job titles related to Freelance Data Engineer jobs in Colorado? For Freelance Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Freelance Data Engineer jobs in Colorado look for? The top searched job categories for Freelance Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Freelance Data Engineer jobs? Cities in Colorado with the most Freelance Data Engineer job openings:
Freelance Data Engineer jobs near you
Infographic showing various Freelance Data Engineer job openings in Colorado as of May 2026, with employment types broken down into 47% Full Time, 50% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

C# Infrastructure Engineer - Data Pipelines

Alignerr

Denver, CO • Remote

$117.90K - $141.50K/yr

Other

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

Job description

C# Infrastructure Engineer - AI Data Pipelines
About the Role
What if your C# skills could directly shape the infrastructure powering next-generation AI? We're looking for a Senior C# Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote, flexible contract role for an experienced engineer who wants meaningful, high-impact work - not just maintenance tickets. You'll work on real production systems alongside data, research, and engineering teams at the frontier 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 C# 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 C# 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 - then implement scalable, production-ready fixes
  • Participate in synchronous design reviews to iterate on system 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-grade C#
  • Deep experience building streaming data pipelines using asynchronous streams and reactive programming concepts
  • Skilled at optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver without hand-holding
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems architecture or developer tooling
Why Join Us
  • Work directly with leading AI research labs on real, high-impact production systems
  • Fully remote and async-friendly - work from wherever you do your best work
  • Freelance autonomy with the substance of meaningful, senior-level engineering work
  • Be at the frontier of AI infrastructure - the kind of work that actually matters
  • Potential for ongoing contracts and expanded scope as projects grow

Apply