Senior Python Developer / Data Engineer / ML Pipelines

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

Experience with NLP or LLM-based systems

Familiarity with MLOps tools like MLflow, Kubeflow, or similar

Experience with feature stores

Exposure to data privacy, PII detection, or compliance-related systems

This is a remote position.