Описание

Mytra is hiring a Senior Data Engineer in Brisbane, CA to build and operate a scalable data platform for high-volume robotics telemetry. The role covers ingestion, storage tiers, pipeline transforms, durable data paths, ID keying, retention, and egress policy.

Responsibilities

Design the data capture lanes, storage tiers, and pipeline layout
Re-design the ingestion service with something that scales
Build the transform machinery; you own the engine and what it guarantees; the team writes the transforms that run on it
Build the durable path for what the system does and has to remember
Build the ID keying and crosswalk tables that connect a stored fact to its site, robot, hardware revision, calibration, layout, and pallet
Own retention, cost, and egress as policy instead of plumbing, including retention policies per record and the site-to-cloud replication path
Run what you build, including CI/CD, monitoring, and alerting for services running in the cloud and inside customer sites

Requirements

5+ years building and running production backend or data infrastructure
You’ve written production code in Go, Python, Rust, Java or C++
You've worked with a durable message or streaming system (NATS/JetStream, Kafka, Pulsar, or similar) and know how delivery guarantees, backpressure, and replay actually behave
You've used a columnar store, relational databases, and No-SQL databases in production and you have a strong understanding of how trade-offs work in these technologies when used in data solutions
You've shipped services and kept them running: CI/CD, monitoring, alerting, and being on the hook when they break
You've designed schemas or data contracts that had to survive change
BS/MS in Computer Science, or the equivalent from having done the work
You've built and run data services yourself; whether ingestion, CDC, or event pipelines, rather than writing jobs on top of someone else's platform
You know how columnar stores like ClickHouse and object-storage lakes like Parquet or Iceberg work, and have opinions about which belongs where
Schema governance, failure modes, and cost are design inputs for you, not afterthoughts
Uncertainty isn’t scary, and you’re willing to realize mistakes and pivot
You can convey complex ideas and technical concepts to a diverse audience
Openness, inquisitiveness, and constant ambition are important values
You enjoy collaborative working and taking time to help others
You seek and value ownership, accountability, and taking on responsibility

Nice to have

Experience with robotics, IoT, or industrial telemetry at volume, including formats like MCAP
GCP (GCS, BigQuery/BigLake), Kubernetes, and data systems run on-prem, at the edge, or air-gapped, where you can't lean on a cloud service being reachable
Prep the data store for ML or RL training to read directly
Prometheus and Grafana experience as a consumer of the data pipeline

We offer

Competitive compensation and equity grants at a high-growth company backed by top-tier VCs
Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents
401(k) plans and employer-subsidized life insurance
Fully subsidized lunch and snacks at HQ
Generous PTO and company-paid holidays, including one week over the winter break
Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity
Fully subsidized tax advisory services and education to help you understand your equity
Commuter benefits, including a up to $150 monthly commuter benefit
Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases
Fully equipped onsite gym and showers at headquarters
Compensation for this position will be set based on the candidate's experience level and location
The posted salary band is applicable only to the San Francisco Bay Area and is subject to change
Pay range: 180,000 - 200,000 USD per year