Compensation: $90,000 – $140,000.

What you'll accomplish - Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python. - Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems. - Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives. - Partner with business stakeholders to gather requirements and translate business needs into technical solutions. - Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality. - Perform data validation, testing, and reconciliation to ensure accurate and trusted data. - Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing

Compensation: $90,000 – $140,000.

What you'll accomplish - Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python. - Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems. - Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives. - Partner with business stakeholders to gather requirements and translate business needs into technical solutions. - Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality. - Perform data validation, testing, and reconciliation to ensure accurate and trusted data. - Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing