Data Pipeline Engineer | Remote in , United States

Energy Jobline
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$140,000.0 - $220,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Data Integrity Information Leak Prevention Data Systems Software Debugging JSON Python (Programming Language) Parsing Next.js SQL Databases
+9 more
TypeScript Data Processing ReactJS Software Application Programming Backend Fastapi Front End Software Development Data Pipelines Service Stack

Job description

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · World Congress 2025

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