ETL Developer

There are two locations for this role: Stamford, CT or St. Louis, MO

Skilled and detail oriented ETL Developer to support data integration and pipeline operations for Agentic programs. This role sits at the intersection of data engineering, cross functional collaboration, and enterprise reporting infrastructure, requiring someone who can operate independently, manage multiple pipeline priorities, and ensure clean, reliable data flows from source systems into the platforms that power business critical reporting and analytics.

Future Duties and Responsibilities

. Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data from multiple source systems into target data warehouses/marts.

. Translate business and reporting requirements into technical source to target mapping specifications.

. Build and optimize data transformation logic to ensure accuracy, consistency, and performance at scale.

. Monitor, troubleshoot, and resolve pipeline failures, data discrepancies, and job scheduling issues in a timely manner.

. Implement data quality checks and validation processes to catch and resolve issues before they reach downstream consumers.

. Collaborate with data analysts, BI developers, and business stakeholders to understand data needs and ensure pipelines support reporting and analytics requirements.

. Optimize existing ETL jobs for performance, including tuning queries, restructuring transformations, and reducing runtime for large data volumes.

Required Qualifications

. Advanced SQL proficiency, including writing complex queries from scratch

. Hands on experience with Business Intelligence tools, preferably MicroStrategy or Tableau

. Familiarity with data pipelines and ETL processes

. Strong ability to gather stakeholder requirements and translate them into reporting specifications and BRDs

. Comfort working across multiple teams and understanding how their functions connect to data

. A proactive mindset with the ability to self prioritize in a fast paced environment.

Skills:

• Data Modeling
• Data Quality Management
• Data Warehousing
• ETL
• SQL
• Telecommunications