Teams at SteerBridge

Analyze large relational datasets, develop optimized SQL, validate data quality, troubleshoot discrepancies, maintain ETL pipelines, automate workflows with scripts and scheduling tools, and produce recurring reports and dashboards that support leadership decision-making in a controlled data environment.

Designs, develops, and maintains backend services and data pipelines for a scalable data platform. Writes production Python and SQL, architects storage and processing solutions, leads technical decisions and cross-functional initiatives, troubleshoots production issues, reviews code, mentors engineers, and collaborates with data science, product, and engineering stakeholders.

Build and optimize batch and real-time ETL/ELT pipelines, data lakes, and cloud-based processing systems. Perform data ingestion, transformation, profiling, validation, governance, quality checks, and API integration across AWS and Azure environments. Write Python, JavaScript, and SQL; maintain technical documentation; support reporting and machine learning; mentor junior engineers; and ensure secure, reliable, compliant data operations.