Google's Business Platforms team is seeking a Data Engineer to join their Revenue Platforms division. This role sits at the crucial intersection of Financial Reporting business processes and supporting systems, focusing on driving digitalization across Alphabet's Quote to Report (Q2R) processes. The position offers a competitive base salary range of $124,000-$178,000 plus bonus, equity, and comprehensive benefits.
The role involves collaborating with Controllership, Tax, External Reporting, Data Governance, and Legal teams to manage financial risk and meet regulatory requirements. You'll be responsible for developing scalable data pipelines, implementing automation solutions, and optimizing reporting data infrastructure. The position requires strong technical skills in programming languages like Python, Java, and SQL, combined with experience in ETL processes and data analysis.
As a Data Engineer at Google, you'll work with cutting-edge technology while contributing to critical financial systems that support one of the world's leading technology companies. The role offers excellent growth opportunities and the chance to work with complex data sets, converting them into actionable business insights. You'll be part of a team that values innovation, technical excellence, and attention to detail.
The ideal candidate will have at least 3 years of relevant experience, strong analytical skills, and the ability to work effectively with cross-functional teams. The position offers the opportunity to work on challenging problems at scale, with access to Google's advanced infrastructure and tools. You'll be joining a company known for its innovative culture, excellent benefits, and commitment to employee development.
Working at Google's Chicago office, you'll be part of a diverse team focused on developing and maintaining critical data systems that support Alphabet's financial operations. The role combines technical expertise with business acumen, requiring both strong programming skills and the ability to understand and implement complex business requirements.