Senior Python Developer / Data Engineer / ML Pipelines

3.7

Job Type   /   Job Level

Full-time   /   Senior Executive

Job Location

Austin, TX

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100% Remote role

Responsibilities

Design and build large-scale data pipelines for ingestion, transformation and processing
Work on ETL/ELT workflows handling different types of data
Build and maintain end-to-end ML pipelines from data preparation to deployment and monitoring
Collaborate with data scientists to productionize ML models
Work on feature engineering, training pipelines and model serving
Ensure data quality, monitoring and pipeline reliability
Optimize systems for performance, scalability and cost
Contribute to clean, maintainable, production-grade Python code

Experience Required

8+ years of software engineering experience with Python as primary language
Strong background in data engineering (ETL/ELT, pipelines, data processing)
Hands-on experience building and maintaining ML pipelines in production environments
Experience with PySpark / Apache Spark
Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.)
Experience working with cloud platforms (AWS / GCP / Azure)
Strong SQL skills and experience with data warehouses
Comfortable working in a distributed/remote engineering setup

Plus

This is a remote position.

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