Senior Python Developer Data Engineer ML Pipelines

Eitacies Inc; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Eitacies Inc is seeking a Senior Python Developer / Data Engineer specialized in building and maintaining large-scale data and ML pipelines. This fully remote position requires strong Python skills and extensive experience in data engineering practices, including ETL/ELT processes. Candidates should have hands-on experience with PySpark or Apache Spark, workflow orchestration tools, and cloud platforms like AWS, GCP, or Azure. Applicants are also expected to have good SQL skills. Experience with NLP systems and MLOps tools is a plus.

Qualifications

• 8+ years of software engineering experience with Python as the primary language.
• Strong background in data engineering, ETL/ELT, and data processing.
• Hands-on experience building and maintaining ML pipelines in production environments.

Responsibilities

• Design and build large-scale data pipelines for ingestion, transformation, and processing.
• Work on ETL/ELT workflows handling different types of data.
• Optimize systems for performance, scalability, and cost.

Skills

Python programming

Data engineering

ML pipelines

ETL/ELT processes

PySpark / Apache Spark

SQL

Workflow orchestration (Airflow, Dagster, Prefect)

Streaming systems (Kafka, Kinesis)

Tools

AWS

GCP

Azure

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.