Sr. Distributed Systems Engineer, Energy Service Engineering - Palo Alto [271129]

$124,000 - $258,000 yearly

Job Description

We're seeking a highly skilled and collaborative Senior distributed systems engineer to architect and implement a cutting-edge data platform while leading the development of streaming data pipelines, data lake, and OLAP infrastructure to support the growth of our energy data platform including Industrial, Residential, Supercharger, and Solar products. You'll design large-scale data systems that integrate multiple sources including deployed fleets, internal applications, and data warehouses while developing robust monitoring and alerting infrastructure.

Your role involves building efficient batch and streaming applications that power business intelligence and support ML engineers with feature engineering infrastructure. You'll create analytics capabilities to track energy products throughout their lifecycle, from creation to deployment, usage, maintenance, and replacement.

Working cross-functionally with teams across our energy divisions, you'll leverage your expertise in data engineering to build scalable solutions that enable rapid development and deployment of data products and drive informed decision-making.

The Role

  • Design, develop, and operate distributed data systems that process streaming and batch workloads at terabyte- to petabyte-scale across Tesla's global energy fleet, against sub-minute end-to-end latency SLAs
  • Build streaming pipelines on Apache Spark Structured Streaming and Kafka with exactly once correctness and recovery guarantees, and evaluate complementary stream-processing engines (Apache Flink, Kafka Streams, Akka Streams, or Apache Beam) where it’s the right framework
  • Architect high-throughput ingest paths from Kafka into the Lakehouse and into low-latency OLAP stores (ClickHouse, Druid, Pinot), including schema and codec design (Protobuf, Avro, Flatbuffers) and backpressure handling
Anthony Antonucci

Qualifications

Relevant experience in Engineering & Information Technology; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No