Senior Data Platform Engineer — Telemetry & Streaming

JobCubby; California (MO); Hybrid; USD 170,000 - 250,000; Full time

Benefits offered by this job

Health coverage

Dental insurance

Vision insurance

401(k) plans

Life insurance

Lunch and snacks

Generous PTO

Company-paid holidays

Pet insurance

Tax advisory services

Commuter benefits

Onsite gym

Job summary

Mytra is hiring a Senior Data Software Engineer to build a scalable data platform for high-volume telemetry. You will design capture lanes, storage tiers, and pipelines, and own the ingestion engines, transformation machinery, and data retention policies.

Your work runs across cloud and customer sites with strong emphasis on reliability. You will lead the data stack from ingestion to downstream schemas, work on cross-site data governance, and collaborate with teams to enable analytics and ML

Qualifications

• 5+ years building production backend or data infrastructure.
• Experience with durable streaming systems and data stores in production.
• Proficiency in Go, Python, Rust, Java, or C++ in production environments.

Responsibilities

• Design data capture lanes, storage tiers and pipeline layouts.
• Redesign ingestion services to scale with growing telemetry.
• Build transform machinery and the engine that guarantees data processing.
• Own retention, egress, and policy-driven data management.

Skills

Go

Python

Rust

Java

C++

Data streaming

Data architecture

CI/CD

Monitoring

Alerting

Education

BS in Computer Science

MS in Computer Science

Tools

NATS/JetStream

Kafka

Pulsar

ClickHouse

Parquet

Iceberg

GCP

Kubernetes

BigQuery

BigLake

Prometheus

Grafana

Job description

Mytra is hiring a Senior Data Software Engineer to build a scalable data platform for high-volume telemetry. You will design capture lanes, storage tiers, and pipelines, and own the ingestion engines, transformation machinery, and data retention policies.

Your work runs across cloud and customer sites with strong emphasis on reliability. You will lead the data stack from ingestion to downstream schemas, work on cross-site data governance, and collaborate with teams to enable analytics and ML