Overview
Skills
Job Details
We are seeking a SQL Data Integration Specialist to join our Enterprise Data Warehouse (EDW) team. This critical role ensures seamless, accurate data flow between systems by managing and optimizing our data integration processes. You ll serve as a frontline support resource for data pipelines while also contributing to project coordination and continuous improvement initiatives.
The ideal candidate is a problem solver who is technically skilled, detail-oriented, and eager to grow in a fast-paced, collaborative environment.
Join a team that values technical excellence, collaboration, and continuous growth. If you're passionate about data and integration, we'd love to hear from you!
Key Responsibilities:
Data Pipeline Monitoring & Tier 1 Support
Monitor data pipelines and ingestion processes daily using alerts, logs, and SLO checks
Troubleshoot and resolve routine issues using SQL and Python
Escalate complex problems with clear documentation and steps to senior engineers
New Data Stream Onboarding & Metadata Management
Coordinate onboarding of new data sources, including validating file formats, schema requirements, and delivery methods
Maintain and update the Edison metadata repository with pipeline registrations, mappings, and data dictionary entries
Ensure documentation and version control for all integrations
Project Coordination & Stakeholder Communication
Collaborate with business stakeholders to gather and clarify requirements
Coordinate deployment schedules and change requests with Change Management
Track project status and team workload across small workstreams
Documentation & Knowledge Sharing
Maintain runbooks, troubleshooting guides, and technical documentation
Ensure new integrations are fully documented within the Edison system
Support Continuous Improvement
Identify recurring issues and contribute to process improvements
Assist with query optimization, testing tools, and proof-of-concepts in collaboration with senior team members
Qualifications:
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field
4+ years of professional experience, including:
3+ years in SQL and ETL development
2+ years working with Python for scripting and data handling
Strong ability to write and troubleshoot complex SQL queries involving joins, aggregations, and filters
Comfortable debugging and modifying Python code
Excellent communication and organizational skills; able to collaborate with both technical and business teams
Agile and adaptable in a dynamic environment
Preferred Qualifications:
Experience working with large language models (LLMs)
Project management experience or certification (PMP, Agile, etc.)
Familiarity with Monday.com, Azure DevOps, or similar platforms
Exposure to cloud-based data warehousing environments
Work Environment:
This is a hybrid role based in Milwaukee, WI, requiring 2- 3 days per week in the office.