Senior Python Data Engineer - ML Pipelines (Remote)

EITACIES Inc.; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

EITACIES Inc. is seeking a senior data engineer to design and implement large-scale data pipelines, ML workflows, and feature pipelines in a fully remote setting.

You will collaborate with data scientists to productionize models and ensure data quality across streaming and batch processes. The role requires extensive Python experience, strong SQL, and hands-on work with PySpark/Spark, Airflow or similar tools in cloud environments (AWS/GCP/Azure).

Qualifications

• 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.

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

SQL

Cloud platforms (AWS/GCP/Azure)

Tools

PySpark

Apache Spark

Airflow

Dagster

Prefect

Kafka

Kinesis

MLflow

Kubeflow

Job description

EITACIES Inc. is seeking a senior data engineer to design and implement large-scale data pipelines, ML workflows, and feature pipelines in a fully remote setting.

You will collaborate with data scientists to productionize models and ensure data quality across streaming and batch processes. The role requires extensive Python experience, strong SQL, and hands-on work with PySpark/Spark, Airflow or similar tools in cloud environments (AWS/GCP/Azure).