YipitData
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
Senior Data Platform Engineer
April 9
YipitData
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
📋 Description
• Own and maintain core data pipelines that power strategic internal and external analytics products. • Build lightweight data applications and tools on top of these pipelines using Python to streamline data refinement, transformation, and processing workflows. • Drive reliability, efficiency, and performance improvements across the data platform. • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs. • Partner with analysts, product teams, and engineering stakeholders to understand data requirements and translate them into scalable solutions. • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency. • Work with a modern tech stack that includes: Python, Databricks (Spark), Pandas, Plotly Dash, AWS, Github, and Docker.
🎯 Requirements
• Have 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements. • Thrive in a fast-paced, evolving environment and can efficiently navigate multiple technologies and production services to troubleshoot and resolve issues. • Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows • Possess strong communication skills, responsiveness, attention to detail, a team-oriented mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders. • Show a track record of excellent problem-solving and debugging abilities, maintaining reliable codebases, and architecting efficient data processes. • Are proficient in Python, Spark, Docker, AWS, and database technologies. (Experience with Pandas, Plotly Dash, Databricks, or REST APIs is a plus but not required.)
🏖️ Benefits
• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
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