Sr. Data Engineer

Sr. Data Engineer

Requirements

• Bachelor’s degree (U.S. or foreign equivalent) in Computer Science or a related field or equivalent years of experience.
• 5 years experience with Cloud and hybrid systems.
• 5 years programming experience.
• 3 years experience designing data infrastructures to comply with the Centers for Medicare & Medicaid Services’ Transparency in Coverage mandate.
• 3 years experience with machine readable files.
• 1 year experience with Python and PySpark.
• 1 year experience with IT concepts, application development methodology, terminology, and standards.
• Strong proficiency in AWS and GCP cloud platforms.
• Able to generate and consume big data files using AWS Glue, Google BigQuery, Parquet, Avro, and Iceberg.
• Experience using ELT tools and workflows including EventBridge and Google Batch.
• Demonstrated success in leading large and complex projects.
• Advanced technical experience in a specialized area of applications systems analysis and programming.

Responsibilities

• Formulates and defines system scope and objectives through research and fact-finding to design, develop, modify, or integrate complex information systems.
• Devises or modifies application systems and procedures to optimize functional requirements including capacity, operating time, response time, and form of desired results.
• Designs, codes, tests, debugs, and documents programs, subroutines, and scripts.
• Develops and implements program/system test plans. Devises data verification methods and standard system procedures.
• Responds to system failures and performance events by taking appropriate measures to reduce system downtime and eliminate recurrence of problems.
• May conduct research on software and hardware products to justify recommendations and support management in budgeting and purchasing efforts.
• Acts as expert technical resource to development staff in all phases of the development and implementation process.

Preferred Qualifications

No preferred qualifications provided.