Crossing Hurdles

Data Pipeline Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Pipeline Engineer, remote, with a contract length exceeding 6 months and a pay rate of $140K - $220K/yr. Key skills required include Python (FastAPI), React, SQL, and cloud platforms (AWS, GCP, Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1000
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🗓️ - Date
June 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Storage #TypeScript #GCP (Google Cloud Platform) #Data Pipeline #Data Integrity #Data Modeling #Python #FastAPI #Azure #AWS (Amazon Web Services) #JSON (JavaScript Object Notation) #Data Processing #React #Cloud
Role description
Position: Software Engineer (Human Data Platforms) Type: Full-time Compensation: $140K - $220K/yr Location: Remote Role Responsibilities • Build and ship features across backend and frontend technologies, including Python/FastAPI and React/Next.js/TypeScript. • Develop and maintain data pipelines for evaluation and model control layers to ensure efficient data processing. • Own and manage secure document pipelines, ensuring proper permissions and preventing data leakage. • Create and enhance OCR and search systems for processing PDFs, images, and scanned documents. • Parse and enforce complex nested JSON structures to support data integrity and application functionality. • Debug and scale pipelines and storage systems while improving performance, reliability, and overall system design. Requirements • Have strong relevant experience in building applications using Python (FastAPI) and React. • Be comfortable working across the entire technology stack. • Possess solid fundamentals in APIs, SQL, async systems, and data modeling. • Have experience with cloud platforms such as AWS, GCP, or Azure. • Demonstrate the ability to work with complex data systems or pipelines. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage