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This role focuses on delivering advanced Snowflake solutions for data engineering and analytics. You will work on building and optimizing SQL transformations while ensuring data quality and compliance with business rules, serving the healthcare sector.
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Title: Senior Snowflake Engineer
Location: Remote
Duration: 3 Month
Job Responsibilities:
7+ years in data engineering, data warehousing or analytics engineering with strong recent Snowflake delivery.
Advanced Snowflake SQL, layered transformations, query tuning and production troubleshooting.
Strong dimensional modeling implementation, including facts, dimensions, surrogate keys and SCD Type 2.
Experience with source-to-target mappings, complex business rules, incremental processing and reconciliation.
Hands-on data-quality checks, audit/control logging, error handling, Git, testing and deployment.
Healthcare payer/provider, MPI or member identity experience preferred.
Build and optimize Snowflake SQL transformations across staging, curated and conformed layers.
Implement tables, views and transformation logic from approved models and source-to-target mappings.
Develop restartable, testable and supportable processing with auditability and error handling.
Implement patient/member matching logic, crosswalks and exceptions for duplicate, unmatched or conflicting records.
Build SCD Type 2 history, member-month outputs and current-state models.
Implement payer attribution across payer/plan, provider networks, PCPs and clinics and preserve monthly history.
Reconcile modeled attribution to source rosters and retain discrepancies and unassigned members.
Automate row-count, null, datatype, referential-integrity and schema-drift checks.
Build audit, balance and control logging, metrics, alerting and reconciliation evidence.
Troubleshoot defects, maintain technical documentation and participate in reviews, planning and client demonstrations.
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