Data engineer will work on client’s data processing pipeline, data processing infrastructure, and internal APIs. Client’s platform handles large streams of data ingested every day in real-time and handles hundreds of synchronous queries. Data engineer will be primarily focusing on ETL/query optimization, less about SQL administration.
Designing, implementing, testing and deploying data processing infrastructure
Researching and assessing the viability of new processing and data storage technologies
Participating in design and code reviews
Strong experience with MS SQL Server is required
Experience with Python, C# or Java is a plus
Experience with big data frameworks such as Cassandra or Hadoop or Spark is a plus
Passion for correctness and efficiency and ability to thrive in a fast-paced start-up environment
An understanding of data structures, distributed and cloud computing and analytics
Ability to reason about performance tradeoffs
Ability to learn quickly and work independently
Data Warehouse Engineer (MS SQL Server)
Medical practitioners across the country turn to XXX’s fully-integrated Electronic Health Record (EHR) and Practice Management solutions they can trust. We are one of the nation’s largest providers of cloud medical practice optimization software and a leader in cloud electronic health record (EHR), practice management, medical scheduling software, and billing applications for medical practices and medical billing services.
XXX solutions are ranked one of the best in the industry by KLAS in 2016 and previous years. We intend to further our quality of service and ease of use for our EHR customers. We are pursuing and committing ourselves to an exciting redesign of our EHR solutions to a next-generation in terms of functionality, form and technology stack.
If you are interested in being part of this super exciting adventure with a scope to show your innovation and lead the revolution, we are looking for you!
Required Technical Skills
Expert level knowledge of Database Design / Development using Microsoft SQL 2012
Expert level knowledge of ETL development using SQL Server Integration Services (SSIS)
Expert level knowledge of data mining (SQL, ETL, data warehouse, etc.) using databases in a business environment with large-scale, complex datasets
Intermediate knowledge of Development / Deployment of multiple SQL Databases using Microsoft Database Projects in Visual Studio 2015
Intermediate knowledge of Development / Deployment of multiple SSIS projects using Visual Studio 2015
Intermediate knowledge of maintaining source code in TFS 2015 Source Control