Senior Cloud Data Engineer responsible for operating and optimizing cloud - based data environments. Collaborating with analytics teams and specializing in AWS, Databricks, and Spark technologies.
SC
Hybrid BI Data Engineer – Contractor
Posted 2 hours ago
About the role
- 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
Benefits
- Flexible work from home options
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