We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support the Core Data platform.<br>• Create tools and services to enhance data discovery, governance, and privacy.<br>• Collaborate with product managers, architects, and software engineers to ensure the success of data platforms.<br>• Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions.<br>• Establish and document best practices for pipeline configurations, naming conventions, and operational standards.<br>• Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs).<br>• Participate in agile and scrum ceremonies to improve collaboration and team processes.<br>• Foster relationships with stakeholders to understand their needs and prioritize platform enhancements.<br>• Maintain detailed documentation to support data governance and quality initiatives.

• At least 7 years of experience in data engineering with a focus on large-scale data pipelines.<br>• Proficiency in programming languages such as Python, Java, or Scala.<br>• Hands-on experience with distributed processing systems like Spark.<br>• Expertise with data pipeline orchestration tools, such as Airflow.<br>• Familiarity with Databricks and cloud technologies like AWS.<br>• Strong SQL skills for analyzing complex datasets.<br>• Knowledge of agile methodologies and best practices.<br>• Experience with Snowflake is a plus.

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