Senior Data Engineer

Mytra; Brisbane (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation and equity

Health Coverage for employees and deps

401(k) plans

Free lunch and snacks

Generous PTO and holidays

Pet insurance

Tax advisory and education on equity

Commuter benefits

Onsite gym and showers

Job summary

Mytra is hiring a Senior Data Software Engineer to build the data platform powering our robotics and telemetry-driven systems. You will design data capture lanes, storage tiers, and scalable ingestion while ensuring durable state and cross-site data linkage.

You will own the transformer engine and contribute to end-to-end data workflows in cloud and on-site environments. The role emphasizes building scalable data services, schema design for evolving data contracts, and operating CI/CD,

Qualifications

• 5+ years building and running production backend or data infrastructure.
• Production code in Go, Python, Rust, Java or C++.
• Experience with a durable messaging or streaming system (NATS/JetStream, Kafka, Pulsar).
• Experience with columnar stores, relational databases, and No-SQL databases in production.
• Shipped services with CI/CD, monitoring, and alerting, and own the reliability of those services.
• Experience designing schemas or data contracts to survive change.
• BS/MS in Computer Science or equivalent hands-on work.
• Built and run data services; ingestion, CDC, or event pipelines.
• Knowledge of ClickHouse and object storage like Parquet or Iceberg; consider schema governance and cost.

Responsibilities

• Design the data capture lanes, storage tiers, and pipeline layout.
• Re-design the ingestion service to scale.
• Build the transform machinery and engine guarantees.
• Create a durable path for system state and memory."
• Develop ID keying and crosswalk tables linking facts to site, robot, and pallet.
• Own retention, cost, and egress policies per record and site-to-cloud replication.
• Operate the cloud and on-site services, including CI/CD, monitoring, and alerting.

Skills

Go

Python

Rust

Java

C++

Distributed Systems

Data Pipelines

CI/CD

Education

BS/MS in Computer Science

Tools

Kafka

NATS/JetStream

ClickHouse

Parquet/Iceberg

Job description

We're creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We're applying robotics and distributed software to create a new class of product for this $1T market. We're focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a \"sleepy\" industry for decades is now at the epicenter of sustaining the global economy.

About the role

Mytra is looking for a Senior Data Software Engineer to build the data platform that the rest of our software reads from.

Every robot and station puts out about 2 MB/s of telemetry and uploads a 60 MB recording every couple of minutes, roughly 6 to 8 GB per edge component per hour. We're designing for 10,000+ storage cells a site, across many sites. Our control plane records every job, fault, and operator action. We require a system that unifies, aggregates, and transforms this data; as well as unlocking the power of our data for downstream insights.

This includes the services that pull data off the wire, the stores it lands in, the ID keying that lets you join across sources, and the pipeline machinery that turns raw capture into the tables products and agents read. Your services will run inside customer facilities, cloud facilities, be durable for multi-day network outages, and enforces each customer's rules for data egress. As much of the services are not built, you will also have the opportunity to architect your solution from the group up.

What you'll do:

• 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. Retention policies per record and the site-to-cloud replication path.
• Run what you build. These services run in our cloud and inside customer sites, so you own their CI/CD, monitoring, and alerting.

Ideal Candidates

• 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

A Final Note:

At Mytra, we build bots, but we hire humans. We value thoughtful challengers who communicate with clarity and respect, and we're lifelong learners committed to getting better every day. We move fast, learn faster, and show up for each other under pressure. The best outcomes come from diverse perspectives working together to build something meaningful and built to last

Benefits Include:

• 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 - we eat and share stories together at the \"long\" table
• Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together
• 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

Pay Notice

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.

The pay range for this role is:

180,000 - 200,000 USD per year (Mytra, Inc.)