ETL Developer: Data Pipelines, Python & Ansible

Tech Mirrors; Charlotte (NC); On-site; USD 85,000 - 115,000; Full time

Job summary

Tech Mirrors in Charlotte, NC is seeking an ETL Developer for a 12+ month onsite contract. You will design, develop, and maintain scalable ETL workflows for data ingestion, transformation and integration.

You will build Python data processing solutions, optimize Oracle PL/SQL packages and automate deployments with Ansible. The role requires strong collaboration with analysts, architects, DBAs and development teams to ensure data governance, security and compliance.

Qualifications

• Design, develop and maintain scalable ETL workflows for data ingestion and transformation.
• Build Python data processing solutions for diverse data sources.
• Model and validate data to ensure accuracy and consistency.
• Collaborate with teams to ensure robust ETL design and data governance.

Responsibilities

• Design, develop and maintain scalable ETL workflows for data ingestion transformation and integration.
• Build custom data processing solutions using Python and related frameworks/libraries.
• Develop and optimize Oracle PL/SQL packages, procedures, functions, triggers and queries.
• Automate application deployment and configuration management with Ansible.
• Monitor ETL jobs and troubleshoot performance bottlenecks, failures and data quality issues.
• Collaborate with business analysts, architects, DBAs and dev teams to gather requirements and implement solutions.

Skills

Python

ETL Development

Data Modeling

Data Validation

Collaboration

Tools

Oracle PL/SQL

Ansible

Job description

Tech Mirrors in Charlotte, NC is seeking an ETL Developer for a 12+ month onsite contract. You will design, develop, and maintain scalable ETL workflows for data ingestion, transformation and integration.

You will build Python data processing solutions, optimize Oracle PL/SQL packages and automate deployments with Ansible. The role requires strong collaboration with analysts, architects, DBAs and development teams to ensure data governance, security and compliance.