AWS Data Engineer building Salesforce pipelines and analytics infrastructure powers Kindsight’s customer-facing products through production data systems.
As a hands-on Data Engineer, you will ingest customer data into AWS and transform it through warehouses supporting dashboards and AI-driven insights. You will work with Salesforce environments, dbt, advanced SQL, Python, and cloud services. The position spans batch loads, change data capture, dimensional modeling, quality validation, and pipeline operations.
Key Responsibilities
Build ELT pipelines from customer Salesforce environments into AWSDevelop dbt transformations and dimensional warehouse modelsOptimize SQL across large multi-tenant datasetsImplement monitoring, reconciliation, and automated data quality checksInvestigate data issues from source through reported resultsRequirements:
Three-plus years building production data pipelinesAdvanced SQL with query tuning and complex joinsTwo-plus years of hands-on AWS experienceTwo-plus years with dbt or equivalent frameworksSolid Python, Git workflows, and CI/CD experienceApply advanced SQL, AWS, Python, and Salesforce data engineering skills to Kindsight’s analytics platform.