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Freelance Data Engineer Jobs in Remote, OR (NOW HIRING)

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... Freelance) At a Glance Role Sr. Software / Platform / Data Engineer Type Contract (contractor assignment -- no medical / paid leave) Duration 3 months (short-term) Openings 15 Start date Immediate ...

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Experience in data annotation, AI quality evaluation, content moderation, or a related role is ... Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on ...

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Thanks for your interest in the QA Engineer role 60-112 usd per hour) This role is with Micro1 ... data workflows. Scope of Work * Design and execute test cases for functional, regression, and edge ...

Freelance Data Engineer information

See Remote, OR salary details

$44.5K

$129.6K

$177.3K

How much do freelance data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for freelance data engineer in Remote, OR is $129,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 per year, depending on experience, location, and employer.

What is a freelance data engineer?

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 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.

What are the key skills and qualifications needed to thrive as a freelance data engineer?

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 are the most commonly searched types of Data Engineer jobs in Remote, OR?

The most popular types of Data Engineer jobs in Remote, OR are:

What are popular job titles related to Freelance Data Engineer jobs in Remote, OR?

For Freelance Data Engineer jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Freelance Data Engineer jobs in Remote, OR look for?

The top searched job categories for Freelance Data Engineer jobs in Remote, OR are:

Infographic showing various Freelance Data Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 72% Full Time, 8% Part Time, 6% Temporary, and 14% Contract. Highlights an 47% In-person, and 53% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.

Azure Platform/Data Engineer (100 USD per hour) remote No C2C

Prointegrate LLC

OR • On-site

$100/hr

Contractor

Posted 2 days ago

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Job description

Sr. Software / Platform / Data Engineer


Please note applicants should be only from below US locations:


Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming


Turing — Contract (Freelance)

At a Glance

Role

Sr. Software / Platform / Data Engineer

Type

Contract (contractor assignment — no medical / paid leave)

Duration

3 months (short-term)

Openings

15

Start date

Immediate — expected start next week

Location

Remote — USA (approved regions) or LATAM

Rate

$100/hr (US) · $70/hr (LATAM)

Commitment

Min. 4 hrs/day, 20 hrs/week, with 4 hrs overlap with PST

Vetting

One 30-min interview (technical + cultural)

About Turing


Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.


About the Role


Build the technical implementation of a system that captures GitHub Copilot CLI agent traces across developer machines, scrubs sensitive content centrally in Azure, and serves a sanitized, queryable dataset for review. You'll own the pipeline end-to-end — from the endpoint capture script through Azure ingestion, scrub, and viewer.


You're a fit if you can take a written design and ship the working pipeline mostly on your own, and you treat privacy as a hard requirement, not an afterthought.


Day-to-Day


  • Stand up the OpenTelemetry capture path: endpoint env-var / .bashrc setup, OTLP export, and a collector pipeline (receivers → processors → exporters).
  • Build the central ingestion + privacy scrub block in Azure (secret and PII detection/redaction) before any data reaches a reviewer.
  • Wire up the sanitized stores and a read-only trace viewer, with task ↔ session ↔ trace correlation.

Required Skills


  • Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
  • 5+ years in software / platform / data engineering, shipping production systems.
  • 3+ years hands-on with Azure (or a comparable major cloud with clear transfer to Azure PaaS), including 2+ years building observability or telemetry pipelines with direct OpenTelemetry experience — OTLP, collectors, spans/traces, semantic conventions.
  • Azure PaaS: Container Apps / AKS, API Management, ADX/Kusto or App Insights, ADLS Gen2 / Blob, Key Vault, Entra ID.
  • Solid Python or Node.js, plus Bash scripting.
  • Practical data privacy / PII and secret scrubbing experience (regex, entropy, redaction/tokenization).
  • Data-pipeline and cloud-security fundamentals (RBAC, private networking, audit).

Nice to Have

  • Grafana / telemetry-backend setup
  • LLM-agent or GenAI observability exposure
  • Cross-cloud identity federation (AAD ⇄ GCP IAM)

Perks of Freelancing with Turing

  • Fully remote environment
  • Work on cutting-edge AI projects with leading LLM companies

Application Requirement

A LinkedIn profile link is mandatory for review — please ensure it appears on your resume, along with your GitHub.


Only from these locations: