Job Description
📋 Description Design and implement scalable batch and streaming data pipelines and architectures that support Define standards for data modeling, data product design, and pipeline orchestration using modern Collaborate with cross-functional stakeholders to translate business and analytical requirements Drive Engineering Best Practices Establish and enforce engineering best practices around code quality, testing, documentation, and Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and 🎯 Requirements 8+ years of experience in data engineering or a related field, with a focus on building scalable Strong expertise in modern data tools and frameworks such as Spark, Airflow, Kafka, Databricks, and Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent communication skills with the ability to explain technical concepts to both technical and 🎁 Benefits Health, vision, and dental insurance Paid time off (PTO) and sick leave Annual bonus and long-term incentive opportunities 401(k) with up to a 5% match Commuter benefits Pet insurance
