Hybrid Data Engineer: Cloud Pipelines & Integration

HigherEdJobs; Baltimore, Northern (MD, KY); Hybrid; USD 90,000 - 101,000; Full time

Benefits offered by this job

Tuition remission

Hybrid telework schedule

Generous leave and benefits

Job summary

UMBC is seeking a Data Engineer (Specialist) to design and maintain cloud-based data solutions that securely exchange data across campus systems and partners. You will build automated pipelines, monitor integrations, and troubleshoot issues to continuously improve our data platform.

The role requires collaborating with technical teams and stakeholders to meet business data needs, while supporting scalable, compliant data delivery in a hybrid work environment.

Qualifications

• Bachelor's degree preferably in Computer Science, Information Systems, or related field.
• 1 year of experience in a professional capacity using cloud-native data engineering tools and services (e.g., Lambda, Python, SQL, Glue, Redshift, Event Bridge, AWS Secrets, Athena Apache Spark, Iceberg file formats and related technologies) to ingest, transform, and deliver data.

Responsibilities

• Design, develop, configure, and support cloud-based data pipelines that integrate data from internal and external sources into the organization's data warehouse and data lake environments.
• Build, schedule, monitor, and troubleshoot automated data processes to ensure data is delivered accurately, securely, and on time.
• Apply data security, access, and governance practices to protect institutional data and maintain data integrity throughout the integration process.
• Support data engineering projects by planning and coordinating activities, tracking deliverables, resolving technical issues, and ensuring solutions meet business and operational needs.
• Collaborate with technical teams, business stakeholders, and external partners to understand data requirements, establish priorities, communicate progress, and resolve integration issues.
• Identify and implement improvements to data integration processes, automation, monitoring, documentation, and operational procedures to increase reliability, efficiency, and scalability.

Skills

Cloud data engineering

Python

SQL

Data integration

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Lambda

AWS Glue

Amazon Redshift

EventBridge

Athena

Apache Spark

Iceberg

AWS Secrets Manager

Job description

UMBC is seeking a Data Engineer (Specialist) to design and maintain cloud-based data solutions that securely exchange data across campus systems and partners. You will build automated pipelines, monitor integrations, and troubleshoot issues to continuously improve our data platform.

The role requires collaborating with technical teams and stakeholders to meet business data needs, while supporting scalable, compliant data delivery in a hybrid work environment.