Data Integration Engineer (Python, SQL)

Responsibilities

• Transform, standardize, and aggregate raw data into business-ready datasets
• Maintain and enhance existing data pipelines, including making code updates to current pipeline loads
• Design and build new ETL pipelines to support new data sources and business requirements
• Develop and maintain SQL-based data models, including creating new tables and leveraging existing tables
• Develop SQL views and procedures
• Improve pipeline reliability, performance, and readability by simplifying and standardizing SQL logic
• Partner with business and analytics stakeholders to understand data needs and translate them into scalable data solutions
• Troubleshoot data quality issues and pipeline failures, ensuring accurate and timely data delivery

Requirements

• 5+ years data engineering experience
• Bachelor's degree
• Strong SQL skills, including complex queries, transformations, and data modeling
• Hands-on experience working with ETL pipelines and data transformations
• Strong experience in Python (Pandas preferred) and SQL (PostgreSQL, SQL Server or other similar)
• Ability to work with existing legacy pipelines and refactor them into cleaner, more maintainable solutions

Qualifications

Not specified

Skills

• Data Engineering
• ETL Pipelines
• Data Modeling
• SQL
• Python

Benefits

Not specified

Pay

$60-$65.50/hour w2Salary Range when converting permanent: $100,000-$110,000 plus 10% bonus

Schedule

M-F 8:30am-5pm ET

Reporting Mode

100% remote from anywhere in the United States