Staff Software Engineer - Data Infrastructure

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Aledade, Inc.

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Accountable Care Organizations (ACOs) • Health Information Technology • Data Analytics • Physician Collaborations

501 - 1000

Description

• As a Staff Software Engineer, you will take us beyond traditional monolithic SQL engines and batch pipelines. • You will build the next generation of distributed data storage and processing systems. • You will build systems that can scale indefinitely, and surpass traditional query performance, while making the interfaces for that data simple, expressive, and cleanly abstracted. • Your interfaces will support a broad array of data consumers, from our web application, to business analytics, and artificial intelligence.

Requirements

• BS/BTech (or higher) in Computer Science, Engineering or a related field required. • 8+ years of production-level experience as an engineer building highly scalable systems. • 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value • 4+ years of experience working with SQL or other database querying languages on large multi-table data sets • Experience architecting, developing, and deploying large-scale distributed systems at scale • Experience with cloud technologies, e.g., AWS, Azure, GCP • Experience building continuous integration and continuous development (CI/CD) pipelines • Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go) • Bonus • Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc. • 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure • Experience in designing, building and optimizing data pipelines and ETL processes • Proficiency in working with large datasets and knowledge of data storage technologies • Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis • In-depth knowledge of database systems • Familiarity with database replication, sharding and other techniques for scalability and high availability of databases • Experience in performance monitoring and optimization of data systems and infrastructure • Experience with containerization and orchestration technologies such as Docker and Kubernetes • Experience building continuous integration and continuous deployment(CI/CD) pipelines • Experience with security and systems that handle sensitive data