Data Engineer designing, building, and supporting data integration solutions at Starr & Associates. Role includes working with client delivery teams across multiple projects and industries.
Responsibilities
Design, develop, and maintain data integration pipelines across batch, near-real-time, and API-based patterns
Build scalable pipelines that ingest, transform, and persist data for downstream consumption
Develop solutions leveraging cloud-native data platforms and distributed processing frameworks
Implement validation, reconciliation, and monitoring to ensure data reliability
Apply secure data handling, access controls, and governance standards
Requirements
Minimum 5+ years of experience in data engineering or data integration
Strong proficiency in SQL and relational data concepts
Experience building data pipelines using Databricks and Azure-based data platforms
Experience implementing batch, near-real-time, and API-driven integration patterns
Experience working with structured and semi-structured data
Understanding of cloud-native data architectures in Azure
Ability to support secure, governed data solutions
Experience delivering solutions in consulting or project-based environments
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