Senior Python Data Platform Engineer - Remote Contract

Alignerr Corp.; New York (NY); Remote; USD 83.000 - 131.000; Vollzeit

Zusammenfassung

Alignerr is seeking a Senior Python Full-Stack Engineer to design and optimize data pipelines, annotation tooling, and evaluation systems powering AI model training. This is a fully remote contract role embedded with data, research, and engineering teams.

You will build high-performance Python systems, develop backend services for data annotation and quality control, and collaborate on architecture decisions to scale production workloads.

Qualifikationen

• 5+ years of experience writing production-grade Python for data engineering
• Strong full-stack developer background with solid systems programming fundamentals
• Proficient with workflow orchestration tools for managing complex dependency graphs
• Experienced with dataframe processing libraries and cloud data warehouse SDKs
• Able to commit reliably to 20–40 hours per week

Aufgaben

• Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control
• Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
• Collaborate directly with data, research, and engineering teams to support model training and benchmarking
• Participate in synchronous design reviews to iterate on architecture and implementation decisions
• Improve performance, safety, and scalability across existing infrastructure

Kenntnisse

Python

Data pipelines

Full-stack

Systems programming

Workflow orchestration

Dataframe processing

Cloud data warehouses

Tools

Pandas

Airflow

Snowflake

BigQuery

Jobbeschreibung

Alignerr is seeking a Senior Python Full-Stack Engineer to design and optimize data pipelines, annotation tooling, and evaluation systems powering AI model training. This is a fully remote contract role embedded with data, research, and engineering teams.

You will build high-performance Python systems, develop backend services for data annotation and quality control, and collaborate on architecture decisions to scale production workloads.