Senior Data Engineer, Financial Data Platform

CareFirst, Inc.; Baltimore (MD); Vor Ort; USD 99.000 - 197.000; Vollzeit

Zusammenfassung

CareFirst BlueCross BlueShield is seeking a Senior Data Engineer to orchestrate, deploy, and scale data infrastructure for big data and platform data management. You will focus on reliability, automation and performance to transform accounting data into meaningful insights for Controllership.

Responsibilities include building data systems, modeling, ETL/ELT, and delivering data-driven decision support. This role emphasizes analytics, governance and scalable architecture.

Qualifikationen

• Knowledge of at least one programming language (SQL, NoSQL, Python).
• Experience with database design and data modeling concepts.
• Familiarity with data exchange formats and data movement concepts.
• Strong analytical and problem-solving skills; able to meet deadlines.

Aufgaben

• Develops and maintains cloud data systems (data warehouses, data lakes) and data access APIs.
• Interprets data, analyzes results and provides reports; translates data into actionable insights.
• Designs data models and plans data classes, indexes, repositories, and recovery procedures.
• Creates data collection frameworks for structured and unstructured data.
• Improves data delivery knowledge by attending workshops and benchmarking practices.
• Applies ETL/ELT techniques to connect large data sets from multiple sources.
• Implements best practices for data auditing, scalability, reliability and performance.

Kenntnisse

SQL

NoSQL

Python

Data modeling

ETL/ELT

Data warehousing

Data analysis

Ausbildung

Bachelor's Degree in Computer Science, Information Technology or Engineering or related field

Jobbeschreibung

CareFirst BlueCross BlueShield is seeking a Senior Data Engineer to orchestrate, deploy, and scale data infrastructure for big data and platform data management. You will focus on reliability, automation and performance to transform accounting data into meaningful insights for Controllership.

Responsibilities include building data systems, modeling, ETL/ELT, and delivering data-driven decision support. This role emphasizes analytics, governance and scalable architecture.