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

Job Description

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: