Senior Data Engineer

RapidAPI is a team of creators building for developers. We are the world's largest API Hub where over 4 million developers find, test, and connect to 40,000 APIs (and growing!) — all with a single account, single API key, and single SDK.
Our users range from independent developers to the largest companies in the world. We work hard to ensure it's easy for developers to build, discover, and connect to APIs faster while providing enterprise-wide visibility and governance. As a result, entrepreneurs and enterprises can concentrate on creating value and business outcomes.
We operate at a significant scale, but the opportunity is even bigger. You have an unprecedented opportunity to make a massive difference and empower developers to build modern software through API innovation while doing the most critical work of your career.
RapidAPI is building a tight-knit, high-performing group of problem solvers to transform how companies manage, develop, and monetize their APIs. The platform engineering organization provides the infrastructure and software capabilities RapidAPI employees use to build, test, deploy, instrument, operate, automate, analyze, and optimize their products and services. As a Senior Data Engineer, you will be responsible for defining, configuring, maintaining, and maximizing the services that make RapidAPI’s critical data applications and infrastructure. You will be applying DevOps principles to manage the platform and help to drive functionality and adoption through continuous improvement, simplification, and automation. You'll work within a team of fellow platform engineers to make RapidAPI’s reliability best of the breed.
To be successful in this role, you will need to bring a consultative approach combined with a technical skill set to both influences and implement meaningful solutions that can ultimately be self-served.

You Will

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition 
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

You Are

• Fluent in relational-based systems and writing SQL.
• Analytical and problem-solving skills with the ability to represent algorithms in software.
• Database architecture testing methodology, including the execution of test plans, debugging and testing scripts and tools.
• Experience with transformation tools 
• Experience in building real-time streaming data pipelines
• Exposure/Experiecne to pub/sub streaming technologies i.e - Kafka, Kinesis, Spark Streaming.

This is an opportunity to play a key role in a fast-growing and high-scale startup company distributed across the US, Europe, and Israel. You'll be taking our product to the next level within a high talent density team and out-of-the-box thinking. Having raised $150 million in a Series D investment round in 2022; you’ll be working with a team that is scaling globally, fast.
If this sounds like you, click apply below! We’d love to hear from you.