Lead Data Engineer (Python, Spark, AWS, ETL)
Richmond
Workplace: OnsiteFull timeUSD 179,400 - 204,700 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Mentoring","Code review","Performance tuning"]Build and support cloud-based data solutions by collaborating with Agile teams to design, develop, test, implement, and tune full-stack data systems. Work with developers experienced in machine learning, distributed microservices, and data engineering to deliver robust experiences that empower millions. Use technologies such as Java, Scala, Python, Spark/PySpark, Open Source databases, and cloud data warehousing (Redshift, Snowflake), while mentoring and reviewing code for performance and quality.
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