Data Engineer (SQL)

• 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

• 3+ 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
• Experience using SQL tools such as DBeaver and/or SQL Workbench
• Ability to work with existing legacy pipelines and refactor them into cleaner, more maintainable solutions

4.44.4 out of 5 stars Boston, MA 02116 Remote $59 an hour - Contract