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Write, review, test, and maintain code, including SQL and Python, to build data tools, automations
Automate manual processes and develop data tools to improve efficiency, accuracy, quality, and
Develop and promote coding standards and contribute to code reviews within the agile team
Build and maintain web-scraping solutions, API integrations, and reusable data-processing components
Support scalable ETL/ELT pipelines for structured and unstructured data
Identify prospective sources that can feed AI solutions and Research and Managed Services workflows

Strong SQL and Python skills, with demonstrated ability to write and maintain code as a core part
Experience with Playwright, Selenium, and other web-data collection techniques
Experience developing and supporting data-ingestion, transformation, and ETL/ELT workflows
Ability to collect and interpret data from multiple sources, including web scraping and GCS/S3, and
Working knowledge of data systems and databases used to maintain data pipelines
Experience with Power BI, Tableau, or other dashboard tools

Data Engineer I (R-19886)

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