Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)
New York, Richmond
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Mentoring","Experimentation","Continuous learning","Software craftsmanship"]Build and support data pipelines that power omnichannel marketing and messaging experiences. Collaborate across Agile teams to design, develop, test, and deploy technical solutions using Python, SQL, Spark, Kafka, and cloud data warehousing like Snowflake and Databricks. Optimize data design for end-users and downstream systems, perform unit tests and reviews, and mentor other engineers while keeping up with emerging data and AI tooling.
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