Python Developer Data Engineering & ML/AI

EITAcies, Inc.

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Remote

Airflow

Amazon Web Services (AWS)

Azure

Program Optimization

Data Cleansing

Information Engineering

ETL

Data Warehousing

Database Queries

Python

Machine Learning

Software Engineering

Workflow Management Systems

Data Processing

Google Cloud Platform

Feature Engineering

Large Language Models

Spark

Build Management

PySpark

Kubernetes

Kafka

Machine Learning Operations

Data Pipelines

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

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 / Google Cloud Platform / Azure)
Strong SQL skills and experience with data warehouses
Comfortable working in a distributed/remote engineering setup

Plus