Data Engineer; SQL

100% Remote , MA Contract Jul 10, 2026 $ 65.50

Employment Type:

Contract-to-Hire, M-F 8:30am-5pm ET

Reporting Mode: 100% remote from anywhere in the United States

Hourly Pay Range: $60-$65.50/hour W2

Salary Range when converting permanent: $100,000-$110,000 plus 10% bonus

We’re looking for a Data Integration Engineer to transform, standardize, and model data that powers the business. This role focuses on improving existing ETL pipelines, building new ones to support evolving business needs, and refactoring legacy data pipelines into reliable, scalable, and maintainable data workflows. Also creating new data tables, fields and objects to support upcoming business needs.

• 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

• 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

Please see pay rate within this job posting.

We welcome all applicants and qualified individuals, who will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.