Senior Data Engineer

5 days ago

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YipitData

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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.

201 - 500 employees

💸 Finance

🏢 Enterprise

📋 Description

• As a Senior Data Platform Engineer, you will join at a pivotal time at the company to deploy mission-critical data pipelines and internal data tools that power our fastest-growing products. • You are excited to augment the pipelines you develop by building interactive tools that analyze data outputs and provide step-level improvements to data refinement and accuracy • You will scale data operations using a cutting-edge stack that leverages Gen AI, Spark, Databricks, and other leading Data technologies • You are eager to optimize and automate the maintenance of our sophisticated data platform and provide technical guidance to platform users across the company. • We are hiring a Senior Data Engineer (Internal, Official Title: Senior Data Platform Engineer) to report to the Chief Architect at YipitData. • This newly established function is responsible for enabling data analysts and data entry teams to leverage innovative datasets and applications that power our fastest-growing analytical products. • This is a unique, hybrid role that combines data engineering with some full-stack development, encompassing data modeling, ETL, and application development using lightweight Python frameworks such as Plotly Dash. • You will work with sophisticated data pipelines and modern web applications that harness our petabyte-scale data lake. • You will also be a core member of the Platform Engineering team, responsible for administering our Data & ML platform, supporting global teams during business hours, and researching and implementing process improvements and automation to reduce the team's support burden by leveraging the latest in data and GenAI technologies.

🎯 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.