Cloud Data Engineer: ETL Pipelines & Data Lakes

Particle41; Northern (KY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Particle41 is seeking a Data Consultant to design, build, and maintain scalable data pipelines and infrastructure for diverse client needs. You will collaborate with cross-functional teams to deliver end-to-end data solutions, ensuring high-quality, scalable data delivery.

The role emphasizes hands-on ETL development, data modeling, and cloud-based data engineering across AWS/Azure/GCP, with a focus on data accuracy and robust testing.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience as a Data Engineer or Data Consultant.
• Proficiency in Python programming language.
• Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Strong understanding of data warehousing/lakehouse concepts and ETL/ELT pipelines.
• Familiarity with cloud data engineering stacks (Azure, AWS, or GCP).
• Version control with Git and collaborative workflows.
• Linux OS experience and shell scripting.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build, and maintain scalable ETL pipelines processing large data volumes from diverse sources.
• Create and optimize data storage solutions (data lakes, data warehouses) for efficient retrieval.
• Integrate structured and unstructured data into unified analytical views.
• Ensure data accuracy, consistency, and quality through validation and cleansing.
• Maintain documentation for data processes and promote best practices.

Skills

Python

SQL

NoSQL

ETL

Data Warehousing

Cloud Platforms

Git

Linux

APIs

Spark/PySpark

Pandas

Education

Bachelor's degree in Computer Science/Engineering

Tools

Flask

API frameworks

ORM

Databricks

Spark

Open Source Tools

Job description

Particle41 is seeking a Data Consultant to design, build, and maintain scalable data pipelines and infrastructure for diverse client needs. You will collaborate with cross-functional teams to deliver end-to-end data solutions, ensuring high-quality, scalable data delivery.

The role emphasizes hands-on ETL development, data modeling, and cloud-based data engineering across AWS/Azure/GCP, with a focus on data accuracy and robust testing.