Staff Data Engineer

Description:
? Architect and productionize batch and real-time data systems to support various products and business needs.
? Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices.
? Design and optimize data models for efficient storage and retrieval to meet critical product and business requirements.
? Collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on data requirements and develop scalable systems.
? Tune, productionize, and optimize data systems and machine learning models to enhance their effectiveness and efficiency.
? Build and maintain strong relationships with partner engineering teams, including backend, client, data science, and ML teams, to ensure seamless integration and support.
? Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of data engineering practices within... the organization.
? Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Requirements: ? 9+ years of relevant industry experience with a Bachelor?s and/or Master?s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD. ? Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale. ? Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL). ? Proven ability to design, productionize, and optimize batch and real-time data pipelines and systems, ensuring their quality, performance, and stability. ? Excellent ability to collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on requirements and drive data-driven decision-making. ? Advanced analytical and problem-solving skills with a focus on data quality, governance, and system reliability. ? Exceptional written and verbal communication skills, capable of influencing stakeholders and conveying complex technical concepts effectively. ? Expertise in data modeling, warehousing, and working with relational (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery). ? Experience working with machine learning engineers to integrate ML models into data systems and products (preferred but optional). ? Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of data engineering strategies. ? Flexibility and innovative thinking to evaluate and incorporate new technologies and methodologies to improve data processes and solutions.

Benefits:
? Eligible for bonus, equity, benefits, and Employee Travel Credits

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