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Seeking a talented Senior Data Engineer to design, build, and optimize data infrastructure. Responsibilities include developing scalable data pipelines, working with large datasets, utilizing external APIs, and mentoring team members. Required skills include Python, Scala, Apache Spark, AWS, SQL, and more.

Design and develop RESTful APIs for internal data consumers using performant API frameworks. Maintain backend transactional databases and document stores. Collaborate with data engineering and product engineering teams to optimize data infrastructure and meet growing needs.

As a Principal Data Engineer at Spotter, you will be responsible for designing, building, and optimizing scalable data infrastructure. You will develop and maintain data pipelines, work with large-scale datasets, and collaborate with internal teams to make data-informed decisions. This role requires 6+ years of software engineering experience, 5+ years of data engineering experience with Apache Spark or Apache Flink, and proficiency in working with DataFrames and SQL.