Senior Data Engineer

About Mytra:

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:

If this role excites you, we encourage you to apply - even if you don't check every box. 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.)