Data Engineering at Blackbaudis responsible foringestion, transformation and processing of datathat powers Blackbaud Data Intelligence and Advanced analytics products.The data managed by the teamsupports data science, data enrichment,researchand 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 technicaldesign,implement complexfeaturesand provide mentorship in the Data Engineering discipline ofInfrastructure Engineering&Cloud Operations(IECO). You build data intensive solutions that arehighly available, scalable, reliable, secure, and cost-effective.Youcontribute to our common coderepositories;helpestablishand enforce coding standards for data engineeringteams.
What will You be doing:
Design, develop andoperatehigh performance, large volume data structures for data-powered products and data science.
Implement efficient,distributedand scalable pipelines and integrate data from multiple sources tocreate 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 fast paced agile environment,participatein scrum ceremonies and help ensure that the team meets sprint commitments
What you'll bring:
have 6+ years of software and/or data engineering experience
Experience with big data technologies such as Spark, Databricks, Delta lakes, Hive, etc.
4+ years of experience in core languages such as Python,Scalaor Java (Preferably Python)
Hands-on experienceleveragingPaaS offerings in a public cloud environment (Azure preferred)
Experience with Big Data design patterns and distributed computing tools/frameworks
Provenexpertisebuilding big data pipelines (batch processing, real-time streaming)
Working knowledge of TDD, CI/CD concepts and tools (Preferably Azure DevOps)
Advanced understanding of unit testing/integrationtesting/QA/Validation
Knowledge of data security and authentication protocols
Experience in areas of data governance, privacy and regulation and professional experience with architectural approaches to data security
Have experience integrating multiple data sources into a common set of data assets
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Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today!
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.
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