Data Engineer

Remote Full-time
About Sayari: Sayari is a risk intelligence provider that equips the public and private sectors with immediate visibility into complex commercial relationships by delivering the largest commercially available collection of corporate and trade data from over 250 jurisdictions worldwide. Sayari's solutions enable risk resilience, mission-critical investigations, and better economic decisions. Headquartered in Washington, D.C., its solutions are trusted by Fortune 500 companies, financial institutions, and government agencies, and are used globally by thousands of users in over 35 countries. Funded by world-class investors, with a strategic $228 million investment by TPG Inc. (NASDAQ: TPG) in 2024, Sayari has been recognized by the Inc. 5000 and the Deloitte Technology Fast 500 as one of the fastest growing private companies in the United States and was featured as one of Inc.’s “Best Workplaces” for 2025. POSITION DESCRIPTION Sayari is looking for an Entry-Level Data Engineer to join our Data team located in Washington, DC. The Data team is an integral part of our Engineering division and works closely with our Software & Product teams, as well as other key stakeholders across the business. JOB RESPONSIBILITIES: Write and deploy crawling scripts to collect source data from the web Write and run data transformers in Scala Spark to standardize bulk data sets Write and run modules in Python to parse entity references and relationships from source data Diagnose and fix bugs reported by internal and external users Analyze and report on internal datasets to answer questions and inform feature work Work collaboratively on and across a team of engineers using basic agile principles Give and receive feedback through code reviews SKILLS & EXPERIENCE Req Please mention the word **HARMLESS** and tag RMjYwNzo1MzAwOjIwZDo3ZDAwOjo= when applying to show you read the job post completely (#RMjYwNzo1MzAwOjIwZDo3ZDAwOjo=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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