Senior Software Engineer - Analytics Platform
Rippling
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This role will be responsible for building out our no-code data analysis platform. A primary objective of this role will involve developing the core set of features that allow users to construct complex analytical queries that can be routed to our query federation system without writing Raw SQL. The work requires a deep understanding of performance characteristics of distributed systems, data warehouses and caching technologies. We use modern tech stacks like Apache Presto/Trino for query federation, Apache Pinot for data storage and Temporal.io for distributed computations. You can be a critical contributor to building the system that combines them into a best in class data product.
This is a unique opportunity to work on both product and platform layers at the same time. We obsess over the scalability and extensibility of platform solutions, ensuring that solutions will meet the needs across the breadth of Rippling's product suite, along with the applications of tomorrow. The Analytics Platform is a highly visible team that collaborates closely with many product and engineering teams across the organization.
What you will do
- Be a technical subject matter expert, provide technical leadership, and share your expertise with a growing team of engineers
- Continuously raise our standard of engineering excellence by implementing and driving best practices for coding, testing, and deployment
- Interact with product stakeholders and engineers through the company that depend on our platform for being successful with Rippling
- Influence technology selections and trends of the whole company
What you will need
- Depth and quality of your experience is more important than years. That said, successful candidates typically have at least 5+ years of development experience.
- Experience building well-tested, modularized code in complex distributed applications.
- Perfectionism with the end user experience (polish, readability, accessibility, performance).
- Experience with performance optimization in back end data intensive systems.
- Experience with systems operating at a significant technical and organizational scale
- Experience working in a fast-paced, dynamic environment
- Ability to thrive in an ambiguous environment by identifying areas of impact and independently pursuing them
- A track record of influencing and enabling forward-thinking technology decisions across a wide organization
- Excellent ability to communicate complex technical ideas with clarity and precision in written and verbal mode
Additional Information
Our India/USA team has 25 engineers split into 3 pods who work closely with our Data Platform team, RQL team as well as product teams throughout the company rely on our analytical and data visualization platform in their product areas.
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees , Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.