Senior Data Engineer - R0007768

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Senior Data Engineer - R0007768

Blackbaud is seeking Senior and Principal Data Engineers to join our Data Platform team. The 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

  • Develop production level code. Own process features from design to implementation.
  • Assemble large, complex data sets for use in R&D, data science, machine learning, or projection to operational stores.
  • Build the infrastructure that provides efficient and scalable ETL/ELT and integration of data from multiple proprietary and 3rd party sources.
  • Code, test and deploy data pipelines in support of various initiatives.
  • Ensure quality of code, processes, and data assets.
  • Participate in code review and help to mentor junior engineers.
  • Work on complex tasks and/or broad programs that are large and diverse in scope and/or critical in nature. Exercises good judgment in determining technical approach.

What we'll want you to have

  • 5+ years of ETL/ELT development, implementation, and support
  • Understanding or knowledge of Data Engineering/Data Science with Spark (Azure Databricks)
  • 5+ years of demonstrated success developing with Core Programming Languages – SQL, Python (preferred), Scala, Java
  • Understanding or knowledge of Azure cloud services – Azure Data Catalog, Azure Data Lake Store, Azure BLOB Store
  • Understanding or knowledge of AWS cloud services – S3, EC2, Data Pipelines, Redshift
  • 5+ years utilizing and developing SQL for relational databases (Oracle, SQL Server, MySQL)
  • Understanding or knowledge of Linux/Unix commands, scripting (bash) and file management
  • Experience in productionizing Machine Learning models and Machine Learning Operations (MLOps), a big plus



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