Data Engineer - Python

Benefits Summary Flexible and hybrid work arrangements Paid time off/Paid company holidays Medical plan options/prescription drug plan Dental plan/vision plan options Flexible spending and health savings accounts 401(k) retirement savings plan with a Roth savings option and company matching contributions Educational assistance program Overview The Data Engineer is responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes. Responsibilities Focus on continued build out/improvement of the current data stores (Oracle, CEPH, and possibly MongoDB) including data access and persistence Requirement of prior knowledge/experience with database concepts such as SQL tuning, indexes, views, stored procedures, etc Proficient in fundamental algorithms and data structures. Server-side Python processes utilizing concurrency patterns with asyncio, multiprocessing, and threading. Also, comfortable working with Numpy, Pandas, Python collections, etc. Must handle API development using REST. Strong working knowledge of FastAPI, with a primary focus on mastering the REST protocol. Experience with gRPC and socket-based communication is a valuable plus. Mastery of typical software development life cycle and deployment processes. Experience with GIT, MS Azure DevOps, Artifactory, etc. Must be comfortable building CI/CD pipelines. Experienced in developing applications and managing systems on Red Hat Enterprise Linux (RHEL) environments. Qualifications Associate’s Degree preferred with 5 to 7 years demonstrated server-side development proficiency Bachelor’s Degree preferred with 3 to 5 years demonstrated server-side development proficiency Skills Programming Languages: Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.) Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.) Data structures: maps, lists, arrays, etc. SCM: solid Git proficiency, MS Azure DevOps (CI/CD) SQL: proficiency with Oracle indexes, SQL tuning, views, stored procedures, and functions OS: majority of the development is on Redhat Linux but should be comfortable with Windows. Some Unix shell scripting may be needed from time to time API development: must have proficiency with REST with gRPC / sockets as a plus Comfortable working iteratively in a dynamic, flexible environment Strong self-management skills and with a focus on timely completion of tasks Ability to converse with technical and non-technical groups #J-18808-Ljbffr