The Senior Data Engineer role spans a broad range of experience. Data Engineers are responsible for ingestion, transformation and integration of data to provide a platform that supports research, data analysis, data enrichment and data science as well as making data operationally available at scale to consuming products and services. This includes a particular focus on the reliability, efficiency and quality of data assets and processing/integration pipelines.
Working with and utilizing standardized tools, technologies and processes Data Engineers design, build and manage the data architecture that enables scalable production of data insight and they work very closely with Data Science to build and operationalize the algorithms that identify insights, predict behavior and prescribe action. This intelligence fuels the development of Decision-Driven Experiences for our customers.
Blackbaud Data Engineers understand how to leverage data for business value and social good, and our Data Engineering team develops, cultivates and curates our industry-leading platform of integrated data assets.
What You'll Be Doing
What We'll Want You To Have
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Blackbaud is a remote-first company which embraces a flexible remote 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 a diverse and 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.
To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.
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The starting base pay is $101,900.00 to $132,800.00. Blackbaud may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.