Senior Data Engineer

Join Mytra as a Senior Data Engineer and play a crucial role in building the data platform that powers our software. You will design and architect the data capture lanes, storage tiers, and pipeline layout, while also re-designing the ingestion service for scalability. Your work will involve building the transform machinery, ID keying, and crosswalk tables, as well as managing retention, cost, and egress policies. You will run the services you build, ensuring their CI/CD, monitoring, and alerting. This is an exciting opportunity for someone with a strong background in data infrastructure and a passion for robotics and IoT.

• Concevoir et mettre en œuvre des services pour capturer, stocker et transformer les données provenant de diverses sources.
• Architecturer et construire des pipelines de données robustes et évolutifs, en garantissant la durabilité et la conformité aux règles de chaque client.
• Assurer la responsabilité de l'ensemble du cycle de vie des services, y compris CI/CD, surveillance, alertes et maintenance.
• Uncertainty isn’t scary, and you’re willing to realize mistakes and pivot
• 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
• Openness, inquisitiveness, and constant ambition are important values
• You can convey complex ideas and technical concepts to a diverse audience
• You enjoy collaborative working and taking time to help others
• You’ve written production code in Go, Python, Rust, Java or C++
• 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
• 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 seek and value ownership, accountability, and taking on responsibility
• 5+ years building and running production backend or data infrastructure
• 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
• If this role excites you, we encourage you to apply — even if you don’t check every box
• 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
• Experience with robotics, IoT, or industrial telemetry at volume, including formats like MCAP
• Prometheus and Grafana experience as a consumer of the data pipeline
• Prep the data store for ML or RL training to read directly