Associate Data Engineer

Labcorp is hiring an Associate Data Engineer.  This person will be an integrated member of Labcorp Data and Analytics team and work within IT team.  You will play a crucial role in developing and maintaining data solutions using Microsoft Fabric, Spark, PySpark and Python.  You will be working in a fast paced and high-volume processing environment, where quality and attention to detail are vital.

Responsibilities

• Develop solutions to parse FHIR format to a de-normalized format using medallion architecture.
• Design and build data pipelines to handle de-duplication, partitioning, and transformations for creating data marts.
• Create semantic models that allow applications to consume data efficiently.
• Generate de-identified datasets for the marketplace, adhering to client-preferred de-identification engines.

Required Skills and Qualifications

• Bachelor’s degree is required.
• Familiar with basic programming concepts, data structures, and algorithms.
• Must have a solid understanding of the Python programming language.
• Strong grasp of the software development lifecycle process, including code development and unit testing.
• Knowledge of data processing tools and frameworks.
• Ability to communicate and collaborate clearly and effectively with team members.
• Familiarity with other programming languages and tools.
• Experience with version control systems, such as Git.

        •    Basic knowledge of databases and SQL.

Labcorp is proud to be an Equal Opportunity Employer:

As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic.

We encourage all to apply

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