DATA ENGINEERING
CERTIFICATE
Data engineers design, build, and maintain the infrastructure that powers modern data systems.
The Omaha Data Science Academy’s Data Engineering Certificate prepares students with practical technical skills in database administration, data movement, ETL processes, cloud infrastructure, and API integration.
Students learn from practicing professionals using workforce-focused instruction aligned to real-world technical environments.
WHAT DOES A DATA ENGINEER DO?
WHAT DOES A DATA ENGINEER DO?
A Data Engineer designs, builds, and maintains the systems that collect, organize, transform, and deliver data for business operations and analytics.
Common responsibilities include:
• Designing and managing database systems
• Extracting, transforming, and loading data (ETL)
• Supporting cloud infrastructure and API integrations
• Managing database performance and optimization
• Supporting data pipelines used by analytics and machine learning teams
Skill Modules Included:
Data Engineering 1 (DBA1 202)
Database architecture, schema design, administration, and infrastructure fundamentals.
Data Engineering 2 (DBA2 202)
Advanced data engineering concepts, database operations, optimization, and enterprise data workflows.
Cloud Solutions and API Integrations (Cloud 202)
Cloud infrastructure, API integration, and modern data pipeline deployment.
PROGRAM REQUIREMENTS
Business Intelligence Certification or documented equivalent training or experience, as determined by the Academy.
CERTIFICATION REQUIREMENTS
Complete ALL of the following:
Data Data Engineering 1 (DBA1 202)
3 hour sessions, two days/week for 4 weeks
This class teaches a student how to store and transform data specifically to be used in modeling. Students will learn database design, SQL queries, different schemas, data cleaning techniques, and data appending. The class also will introduce a tool called Dataiku, a data platforming tool used for easier data engineering and visual/drag and drop data science. This module, taken individually, does not earn a student a certificate.
AND
Data Engineering 2 (DBA1 202)
3 hour sessions, two days/week for 4 weeks
Data Engineering is quickly becoming a highly sought skill. A Data Scientist’s best friend, a Data Engineer not only designs and manages the data sources Data Scientists use to run their algorithms, but they also extract, transform, and load the data; manage the APIs; and are usually in charge of the data and data science toolsets. This class teaches those skills as well as how to manage data flows and work with the data team to sustain modeling in the enterprise. Note: This module, taken individually, does not earn a student a certificate.
AND
Cloud Solutions and API Integration (Cloud 202)
3 hour sessions, two days/week for 4 weeks
Cloud Infrastructure and API Integration for Data Science focuses on leveraging the power of cloud platforms for scalable data science applications. It also covers the importance of APIs for data retrieval, sharing, and integration. Students will understand how to build, deploy, and manage data science pipelines in cloud environments. This module, taken individually, does not earn a student a certificate.
Duration: 72 hours. Each module is taught 3 hours per night, 2 times per week, for 4 weeks
each.
Cost: $8,550
Clock Hours: 72 hours Weeks: 12 Delivery: In-person or online Credential: Certificate
Omaha Data Science Academy is accredited by the Nebraska Commissioner of Education under the provisions of sections 85-1617 through 85-1621 Revised Statutes of Nebraska, and Title 92, Nebraska Administrative Code, Chapter 41, Section 009.