Senior Python Developer / Data Engineer / ML Pipelines

EITACIES Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

100% remote

Job summary

EITACIES Inc. is seeking a Senior Python Developer / Data Engineer to design and build large-scale data pipelines, develop end-to-end ML workflows, and productionize models. You will work on ETL/ELT processes, feature engineering, and data quality across distributed systems in a fully remote setting.

The ideal candidate has 8+ years of Python software engineering experience, strong Spark, Airflow or similar orchestration, SQL, and cloud exposure (AWS/GCP/Azure).

Qualifications

• 8+ years of software engineering 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.
• 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.

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.

Skills

Python

Data engineering

ML pipelines

PySpark

Airflow

Dagster

Prefect

SQL

Cloud platforms

Distributed systems

Tools

Airflow

Dagster

Prefect

Kafka

Kinesis

MLflow

Kubeflow

Job description

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.