Senior Data Engineer: Big Data & Analytics Architect

University of Maryland Medical System Corporation; Linthicum (MD); On-site; USD 80,000 - 127,000; Full time

Job summary

University of Maryland Medical System Corporation is seeking a Senior Data Engineer to design and implement core analytics infrastructure, ensuring reliable data pipelines and high-performance analytics capabilities across diverse datasets.

You will collaborate with data scientists and developers to build next-generation data platforms, enabling real-time and batch processing, data modeling, and production-ready analytics solutions in a high-demand environment.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Information Systems, Engineering, Physical Sciences or related field is required.
• Seven or more years' experience designing, implementing and supporting analytics/data engineering systems.
• Strong knowledge in programming or scripting languages (e.g., Python, Java, Scala).
• Experience with object-oriented design and large-scale data infrastructures.

Responsibilities

• Design and implement core analytics infrastructure for data pipelines and platforms.
• Gather, process and transform data from multiple sources for analysis.
• Build data models and data flows; translate requirements into architecture and software.
• Develop and deploy scalable, high-performance data solutions including big data workflows.
• Collaborate with data scientists and developers to integrate algorithms into production systems.
• Provide ad hoc analyses to support business decisions and strategic initiatives.

Skills

Data pipelines

Big data technologies

Python

SQL

Hadoop/Spark

Data modeling

Cloud (AWS/Azure)

Education

Bachelor's degree in CS/IS/EE

7+ years data engineering experience

Tools

PostgreSQL

MongoDB

Oracle

Hive

Spark

Job description

University of Maryland Medical System Corporation is seeking a Senior Data Engineer to design and implement core analytics infrastructure, ensuring reliable data pipelines and high-performance analytics capabilities across diverse datasets.

You will collaborate with data scientists and developers to build next-generation data platforms, enabling real-time and batch processing, data modeling, and production-ready analytics solutions in a high-demand environment.