Data Integration Engineer II

Responsibilities

• Design, develop, and maintain scalable data integration pipelines (ETL/ELT) to support data ingestion, transformation, cleansing, curation, and unification across multiple data sources.
• Develop and support end-to-end data pipeline components, including ingestion, validation, transformation, cleansing, and curated data layer development.
• Monitor, maintain, and optimize production data pipelines to ensure reliability, performance, and successful execution of scheduled workflows.
• Create and maintain comprehensive technical documentation for data pipelines, workflows, and data models.
• Develop tools and frameworks to support automated data profiling, data quality monitoring, and unit testing to ensure high-quality and reliable data assets.
• Collaborate with implementation teams to identify, investigate, and resolve data anomalies during data onboarding and integration processes.
• Partner with product engineering teams to ensure accurate data capture and alignment with application data specifications and business requirements.
• Provide data-related support to analytics and customer success teams, assisting with troubleshooting, reporting needs, and client data inquiries.

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