DATA ENGINEER

BrightSpring Health Services

We are looking for a Data Engineer to join our growing team of Data Engineers. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow. The Data Engineer will work on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Creates and maintains optimal data pipeline Patterns/Architecture
• Assembles large, complex data sets that meet functional / non-functional business requirements
• Builds the Data pipelines that extract, transform, and load data from a wide variety of data sources using Azure technologies
• Works with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Keeps our data separated and secure across Azure regions
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Designs and implements dimensional data models as well as creates automated Data Quality tests to continuously monitor data quality of the data models under the supervision of a designated lead

• Three or more years of experience in a Data Engineer/ Data Analyst role
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Familiarity with relational SQL and NoSQL databases; knowledge of data pipeline architecture preferred
• Experience with object-oriented/object function scripting languages: Python, C#
• Experience with Azure cloud services: Azure Data Factory, Azure SQL db, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Data Bricks, PySpark
• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Eager to learn new technologies and identify opportunities for improvement
• Strong analytic skills to perform root cause analysis on internal and external data and processes to answer specific business questions
• Detail oriented and possess good organizational skills
• Willing to work in a cross-functional team in a dynamic environment