Data Analytics Engineer

Summary

Join YipitData, a leading data and analytics firm, as a Data Analytics Engineer (Internal title: Data Specialist)! You will be responsible for owning high-impact work, including building data products, managing data ingestion pipelines, and creating data feeds for clients. This role involves working with massive datasets, collaborating with stakeholders, and improving existing products and pipelines. You'll receive comprehensive training in SQL, PySpark, and Python. YipitData offers a competitive salary, comprehensive benefits, flexible work hours, a remote-first environment, and opportunities for career growth.

Requirements

• Have a strong ownership mentality and want to ensure our products are the best in the world
• Have strong attention to detail
• Be a methodical problem-solver
• Clearly communicate complex concepts, both orally and in writing
• Strive to make tasks as efficient as possible
• Have an ability to manage multiple priorities
• Be experimental and curious - you aren’t afraid of changing the status quo
• Be enthusiastic about making a big impact at a rapidly growing company
• Have primary residency (and be physically located) in the country of hire (AKA Colombia) in order to be considered for the position. If hired, the worker must maintain primary residency in the country of hire in order to be eligible for employment

Responsibilities

• Be the primary owner of high-impact work such as running or building new data products end-to-end, running centralized data ingestion pipelines that the broader Data team relies on, or building clean granular data feeds that help clients dive into data
• Work with massive amounts of data to help answer our clients’ key questions about the companies we cover and the datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights
• Become a trusted and reliable resource for our internal stakeholders or clients and work with them to identify and answer their key questions
• Improve our products, data pipelines, or data feeds by developing entirely new methodologies and features for our products, exploring and scaling use across the data team of new third-party datasets, or creating new modules to make our raw feeds data experience better
• Learn or sharpen existing SQL and Python skills starting with our two-month new hire training program that will teach you SQL, PySpark, and Python fundamentals as well as our internal tools and processes

Benefits

• Competitive salary and comprehensive benefit offerings
• Opportunities to build a career as a manager or individual contributor through our career ladder that promotes based on impact
• Regular career conversations with your manager where you will discuss your short and long-term career goals
• Potential for internal mobility opportunities
• Flexible work hours
• A remote-first work environment
• Flexible vacation
• Team events
• Learning reimbursement