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Senior Database Engineer

Cone Health — United States · Posted ~6 hours ago

Senior

Skills

Azure Azure Data Factory Databricks Delta Lake Cloud Computing Apache Spark SQL Python PySpark Unity Catalog Database performance optimization Database security Database architecture Database integration Data partitioning Data transfer mechanisms EHR software applications Spark SQL DevOps Agile

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Summary ✨ AI‑Generated

A senior database engineering role focused on designing, analyzing, optimizing, and securing enterprise data systems and applications. You will work with cloud data platforms, modern data integration and processing technologies, distributed computing, SQL, and Python-based tooling. Responsibilities include database performance and scalability, architecture improvements, system integration, data transfer mechanisms, and data partitioning, with opportunities to contribute to DevOps and Agile practices.

Highlights

Senior-level role focused on designing, improving, securing, and optimizing data platforms and applications in a healthcare environment. Offers work with modern cloud data technologies, distributed processing, data engineering, and enterprise database architecture while providing significant autonomy.

Description

The Database Engineer Senior manages the design, analysis, and improvement of Electronic Health Record (EHR) software applications for the organization. Working under minimal supervision, the Database Engineer Senior ensures software modules are encoded, tested, debugged, and installed so that EHR users can quickly and intuitively access applications. Azure Azure Data Factory Databricks Delta Lake Cloud Computing Spark SQL Python/PySpark Unity Catalog Preferred: DevOps Agile Methodology Essential Job Function Monitors database performance, scalability and security, resolving any issues to ensure databases are operating properly.Examines existing database design and determines necessary updates and integration requirements of new designs.Reviews plans for architecture updates and new systems with existing warehouse structure to refine performance/functionality.Designs database applications such as interfaces, data transfer mechanisms, and data partitions to support access of the generic database structure.Guides lower-level professionals to ensure a capable and proficient data engineering workforce.Determines objectives and approaches to assignments and recommends changes to leadership to drive innovation, improve processes, and make strategic recommendations.Reviews existing policies, procedures, and workflow to evaluate the effectiveness of existing practices, identify areas for improvement, and ensure compliance.Performs other duties as assigned. Education Required: Bachelor's Degree. Experience Required: 6 years Licensure/Certification/Listing Required: Platform-centric Certification obtained within 6 months; 12 months will be allowed only if necessary to meet certification requirements.