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ETL Data Engineer (AWS & Python) - W2 CTH

Columbus, OH, US • Posted 19 hours ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

WebKit
Data Mapping
RF
System Integration
Regression Testing
Pure Data
Development Testing
Collaboration
Continuous Improvement
Emerging Technologies
Data Engineering
Computer Science
Python
PySpark
SQL
Extract
Transform
Load
IBM InfoSphere DataStage
Database
Data Processing
Microsoft Azure
Migration
Cloud Computing
Snow Flake Schema
Amazon Web Services
DevOps
Communication
Problem Solving
Conflict Resolution
Mentorship
Cyber Security
Risk Management
Data Security
Financial Services
Banking
Data Warehouse
Roadmaps

Summary

Job Title: ETL Data Engineer (AWS & Python)

Location: Columbus, OH | Dallas, TX | Minneapolis, MN | Tupelo, MS (Onsite 4 days/week)

Job Summary

STAFFXPERT LLC is seeking an ETL Data Engineer on behalf of our client in Columbus, OH, Dallas, TX, Minneapolis, MN, or Tupelo, MS. This role focuses on designing and modernizing enterprise data warehouse solutions, with an emphasis on transitioning legacy ETL systems to cloud-based architectures using AWS and Python. The ideal candidate will have strong experience in ETL development, cloud migration, and data engineering best practices.

Key Responsibilities

Design, develop, enhance, and maintain ETL pipelines and data solutions following industry best practices.
Translate business requirements and data mapping documents into technical designs.
Develop and execute unit tests; support system integration and regression testing.
Troubleshoot and resolve issues in development, testing, and production environments.
Collaborate with cross-functional teams to communicate progress, risks, and blockers.
Contribute to continuous improvement initiatives and optimize data processes.
Stay current with emerging technologies and data engineering trends.
Mentor junior developers and provide technical guidance.
Lead specific projects and ensure timely, high-quality delivery.

Required Qualifications

Bachelor's degree in Computer Science or a related field.
5+ years of experience in ETL development within enterprise data warehouse environments.
Strong experience with Python/PySpark and SQL.
Hands-on experience with ETL tools such as IBM DataStage.
5+ years of experience with database programming and data processing.
3+ years of experience working with cloud platforms such as AWS or Azure, including migration projects.
Solid understanding of data warehousing concepts, architecture, and best practices.

Preferred Qualifications

Experience with modern cloud data platforms such as Snowflake.
AWS certifications (Solutions Architect, DevOps Engineer, or Professional level) are a plus.
Strong communication, organizational, and problem-solving skills.
Experience mentoring or leading development teams.
Knowledge of cybersecurity principles, risk management, and data protection practices.
Experience in the financial services or banking industry.
Experience defining data warehouse roadmaps and future-state architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172109
Position Id: 2026-1771
Posted 19 hours ago

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