Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed by Blackbaud’s products and services.

As a Senior Data Engineer, you will take responsibility for technical design, implement complex features and provide mentorship in the Data Engineering discipline of Infrastructure Engineering & Cloud Operations (IECO). You build data intensive solutions that are highly available, scalable, reliable, secure, and cost-effective. You contribute to our common code repositories; help establish and enforce coding standards for data engineering teams.

What will You be doing:
Design, develop and operate high performance, large volume data structures for data-powered products and data science.
Implement effective, distributed and scalable pipelines and integrate data from multiple sources to create data products




Implement design patterns that support data ingestion, data movement, transformation, aggregation, and much more.
Collaborate with Product managers, Software engineers, and Data Scientists, and work towards achieving key results.
Build high quality production level code, test and deploy data pipelines
Undertake complex tasks that are large and diverse in scope and/or critical in nature
Design and develop breakthrough products, services or technological advancements that expand our business
Participate in code reviews, brainstorm design approaches with peers and mentor junior engineers
Work in rapid paced agile setting, participate in scrum ceremonies and help ensure that the team meets sprint commitments.
Leverage AI-assisted tools to accelerate delivery and improve quality and actively experiment with emerging capabilities as they evolve.

What you'll bring:
Have 5+ years of

📌 Data Engineer, Senior Hyderabad (India)
🏢 Blackbaud
📍 India