Senior Data Engineer

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.

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.

Responsibilities

• Your work will involve building the transform machinery, ID keying, and crosswalk tables, as well as managing retention, cost, and egress policies.
• 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.

Requirements

• 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 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
• 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

Preferred

• 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
• 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

Pay

USD 180,000 - 200,000

If this role excites you, we encourage you to apply — even if you don’t check every box