Senior Data Engineer — Enterprise Analytics & Governance

HU101 The Howard University; United States; On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health insurance

PTO & holidays

Tuition reimbursement

Career development

Commuter benefits

Job summary

Howard University seeks a Senior Data Engineer to design, develop, and maintain scalable data infrastructure supporting analytics, reporting, data science, and strategic decision-making across academic and administrative domains.

The role collaborates with cloud engineers and governance teams to build production-grade pipelines, enforce data quality and security, and deliver analytics-ready data for dashboards, forecasting, and executive reporting.

Qualifications

• Advanced proficiency in SQL, Python, and/or R, with experience using PySpark or comparable distributed data-processing technologies.
• Strong knowledge of data modeling, data structures, relational databases, and ETL/ELT pipeline development.
• Familiarity with modern cloud-based data platforms, data lakes, data warehouses, and lakehouse architectures.

Responsibilities

• Design, develop, test, and maintain scalable ETL/ELT pipelines integrating data from institutional sources.
• Develop enterprise data models, data structures, transformation logic, and standardized datasets for reporting and analytics.
• Build automated data pipelines using Python, R, SQL, and PySpark for ingestion, transformation, validation, and delivery of large datasets.

Skills

SQL

Python

R

PySpark

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, Engineering, Quantitative Methods

Master's degree in Data Science, Educational Psychology with a Statistics/Quantitative Methods concentration, Quantitative Measurement, Statistics, Computer Science, Information Systems, or related field

Tools

Git

CI/CD

Databases

Job description

Howard University seeks a Senior Data Engineer to design, develop, and maintain scalable data infrastructure supporting analytics, reporting, data science, and strategic decision-making across academic and administrative domains.

The role collaborates with cloud engineers and governance teams to build production-grade pipelines, enforce data quality and security, and deliver analytics-ready data for dashboards, forecasting, and executive reporting.