Associate Engineer - Data Operations
Norfolk, VA, United States
PRA Group
We invite you to explore a future with us at PRA Group, a diverse and growing company that has a tangible impact on the global economy.
Position Summary:
Handles moderately complex issues and problems. Applies practical knowledge of principles and practices of area of specialty. Supports, but also leads simple to moderately complex projects and programs. Primary point of responsibility for the deployment, management and monitoring of data products, data and AI/ML models, and processes. Also responsible for ensuring the data pipelines and model ops supporting those products and processes undergo constant quality checks to ensure validity of the end product. Additionally responsible for creating / maintaining an SST data model to support products, models, and processes. Provides expertise in the design, development, and support of the applications and / or improving existing applications.Professional Experience, Skills and Qualifications:
Bachelor's Degree required in Science, Technology, Engineering, Mathematics (STEM) or quantitative field. Equivalent and demonstrable work experience accepted in lieu of degree.
0 -1 years of Data Engineering or relevant experience.
Entry level aptitude and advanced knowledge of database technologies, automation, and cloud technologies.
Learns quickly and progresses consistently while requiring minimal feedback from senior data operations staff.
Familiar with the fundamental techniques of Machine Learning. Basic knowledge of fundamental tools of software engineering such as version control, unit testing, containerization, and CI/CD.
Ability to work with the concepts of data ingestion, profiling, warehousing, processing, storage, and quality.
Beginner knowledge with the concepts of Data Visualization, metrics and analytics.
Beginner knowledge of networking concepts and system integration.
Familiarity with the concepts of cloud services (Azure/AWS/Google).
Beginner knowledge of programing languages such as SQL/Python/Java/R along with other object-oriented concepts.
Responsibilities:
Handles moderately complex issues and problems. Applies practical knowledge of principles and practices of area of specialty. Supports, but also leads simple to moderately complex projects and programs.
Primary point of responsibility for the deployment, management and monitoring of data products, data and AI/ML models, and processes. Also responsible for ensuring the data pipelines and model ops supporting those products and processes undergo constant quality checks to ensure validity of the end product.
Additionally responsible for creating / maintaining an SST data model to support products, models, and processes. Provides expertise in the design, development, and support of the applications and / or improving existing applications.
All qualified applicants will receive consideration for employment regardless of age, race, color, sex, gender, religion, national origin, physical or mental disability, citizenship, or any other classes recognized by state or local law or any other characteristic protected under applicable federal, state or local law. We are a drug free workplace.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure CI/CD DataOps Data pipelines Data visualization Engineering Java Machine Learning Mathematics ML models Pipelines Python R SQL STEM Testing
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