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Eitacies Inc

Senior Python Developer / Data Engineer / ML Pipelines

Posted 3 months ago
5-10 years experience
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AI Summary

Design and build large-scale data pipelines for ingestion and processing while maintaining end-to-end ML pipelines. Collaborate with data scientists to productionize models and optimize systems for scalability and performance.

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.

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