Data Platform Engineer - Telemetry & Time-Series Pipelines

General Matter; Los Angeles (CA); On-site; USD 125,000 - 220,000; Full time

Benefits offered by this job

Stock options

Medical, vision & dental coverage

401(k) retirement plan

Job summary

General Matter in Los Angeles is seeking a Data Platform Software Engineer to design and implement the data acquisition, storage, and streaming backbone for test stands and production systems.

This role sits at the intersection of industrial data systems and high-performance backend engineering, and is responsible for building reliable, scalable data pipelines that ingest high-throughput, high-channel-count sensor telemetry without loss and serve it to visualization and analytics layers.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
• 5+ years of experience building data pipelines, streaming systems, or backend data infrastructure.
• Strong, production-level experience in Python and SQL.
• Hands-on experience with high-throughput data ingestion and time-series or historian storage, with a strong understanding of distributed systems and data reliability.

Responsibilities

• Design, implement, and maintain high-throughput data pipelines for kHz-class, high-channel-count sensor telemetry across test and production environments.
• Design and operate time-series storage and industrial data historians for long-term retention, query performance, and schema evolution.
• Build ingestion and streaming services with buffering, backpressure, idempotency, and no silent data loss.
• Define and champion modern software engineering practices, data architecture, schema standards, testing, and operational best practices across the data platform.
• Work closely with controls, test automation, and visualization teams to feed downstream analytics and live dashboards directly.
• Lead debugging, root cause analysis, and reliability improvements across the full ingestion-to-storage stack.

Skills

Python

SQL

Distributed systems

Data pipelines

Education

Bachelor's degree or higher in CS/CE/SE

Tools

InfluxDB

TimescaleDB

Redis

MQTT

Kafka

Grafana

Job description

General Matter in Los Angeles is seeking a Data Platform Software Engineer to design and implement the data acquisition, storage, and streaming backbone for test stands and production systems.

This role sits at the intersection of industrial data systems and high-performance backend engineering, and is responsible for building reliable, scalable data pipelines that ingest high-throughput, high-channel-count sensor telemetry without loss and serve it to visualization and analytics layers.