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.
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.
Experience with big data technologies such as Spark, Databricks, Delta lakes, Hive, etc.
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Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
