Senior SQL and Data Engineer

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Aubrant Digital

51 - 200 employees

Founded 2013

đŸ€ B2B

🏱 Enterprise

đŸ€– Artificial Intelligence

B2B ‱ Enterprise ‱ Artificial Intelligence

Aubrant Digital is a modern software engineering firm that helps businesses accelerate digital product delivery through a studio model, managed teams, and a plug-and-play Workbench platform. They combine design thinking, global engineering talent, and AI-powered automation to prototype, build, and scale software solutions faster and at lower cost, offering managed projects, managed services, and extended staffing. Aubrant focuses on partnering with high-growth companies and global enterprises to solve complex engineering challenges and reduce delivery risk.

📋 Description

‱ Own the data tier supporting the platform, including denormalized read models and snapshot tables for low-latency patient views ‱ Tune queries and indexes using execution plans and Query Store at production data volume ‱ Build and operate ETL, change data capture, and delta refresh pipelines across EHR, HIE, claims, and pharmacy sources ‱ Define and publish data freshness service levels and accurate as-of dates for each data source ‱ Implement shared cohort and risk-scoring data layers with consistent values across consuming screens ‱ Own de-identification and synthetic data generation to keep offshore development environments free of protected health information ‱ Deliver versioned, gated database migrations through Flyway or an equivalent CI-integrated tool ‱ Build data quality and reconciliation checks to detect broken feeds before stale data reaches clinicians ‱ Partner with the architect on SQL Server workload management, including Resource Governor and readable secondary routing ‱ Serve as the critical data-engineering owner and escalation point while collaborating with clients and cross-functional teams

🎯 Requirements

‱ Bachelor's Degree in Computer Science or a related discipline, or equivalent experience ‱ Native or bilingual fluency in written and spoken English; daily client-facing communication required ‱ 6+ years of professional data engineering or database engineering experience with Microsoft SQL Server and Azure SQL ‱ Expert-level advanced T-SQL, including window functions, set-based rewriting of procedural logic, and query plan-aware design ‱ Expert-level index design across covering, filtered, and columnstore indexes, with demonstrated production-volume tuning results ‱ Strong execution plan analysis skills and practical experience with Query Store, Extended Events, Resource Governor, and readable secondaries ‱ Experience designing denormalized read models, snapshot tables, and materialized aggregates for low-latency read paths ‱ Experience with Flyway or an equivalent versioned migration tool inside a CI pipeline ‱ Experience with healthcare data, including claims, HIE feeds, pharmacy or Surescripts data, and PHI de-identification techniques ‱ Working knowledge of .NET and C# sufficient to review and influence the data access layer ‱ Excellent problem-solving, communication, collaboration, and customer relationship skills ‱ Experience with Redis or another distributed cache is a plus ‱ Experience with Azure SQL Managed Instance, Azure Data Factory, or Databricks is a plus

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