THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable data systems while collaborating with multiple departments and stakeholders to support high-impact data use cases. The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Build & Maintain Data Pipelines Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations. Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark. Ensure data is reliable, accurate, and delivered in a timely manner Collaborate Across Teams Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions Translate business questions into engineering tasks and contribute to technical planning. Participate in code reviews, sprint planning, and retrospectives as part of an agile team. Data Quality & Operations Monitor data pipelines and troubleshoot issues in a timely, systematic manner Implement data quality checks and contribute to observability and testing practices Document data sources, transformations, and architecture decisions to support long-term maintainability THE STATS What we're looking for in our next teammate
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees