Data Engineer IV

Data Engineers Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.

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The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

Responsibilities Data Engineer, IVDesign, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses. Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.

Work collaboratively with end-users including researchers to recommend strategies for problem analysis, study design, and apply rigorous data science methods. Serve as the front-line support for data-related questions from end-users, and be responsible for standardization, documentation, and maintaining a repertoire of answers and solutions to common problems.

Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.This is an Advanced-Level position in the General Professional track.Job Code: P34034Grade: P22Expected Pay Range: $70,535 to $161,814, EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: Data Engineer, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.

Preferences

• Master's degree in biomedical informatics, computer science, information systems, bioengineering or equivalent, with emphasis on healthcare.
• 4+ years of experience with healthcare data warehousing, electronic health records (ideally, Epic), and data preparation & analysis.
• Knowledge and experience in applying controlled medical terminologies like SNOMEDCT, LOINC, RxNorm, etc. in healthcare.
• Clinical training (e.g., medicine, nursing, pharmacy, etc.).
• Demonstrated expertise in a broad array of data science theories and techniques.