Software Engineer, Data Platform
General MatterLos Angeles, CA
Full Time
Posted September 2, 2026
$125k - $220k
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Listing evidence and provenance
- Source
- Greenhouse View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Nuclear Energy
- Pay provenance
- Employer-provided pay
Job Description
We are seeking a Data Platform Software Engineer to design and implement the data acquisition, storage, and streaming backbone for test stands and production systems.
Key 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 a focus on buffering, backpressure, idempotency, and no silent data loss.
- Define and champion modern software engineering practices, data architecture, schema standards, testing strategies, 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.
Requirements
- 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.
- Experience with high-reliability, on-premise, 24/7 deployments in safety-critical environments.
- Experience with time-series databases (e.g., InfluxDB, TimescaleDB), in-memory data stores (e.g., Redis), and OT/industrial data historians.
- Experience with streaming and pub/sub middleware (e.g., MQTT, DDS, OPC-UA, Kafka).
- Experience with high-channel-count sensor data and reliability engineering for ingestion.
- Background in observability, infrastructure-as-code, and feeding visualization layers (e.g., Grafana).
- Background in high-reliability or data-intensive environments (e.g., industrial automation, aerospace, energy, finance/trading, telecom, scientific research).
- Demonstrated technical leadership in setting engineering standards, and building and mentoring high-performance engineering teams.
- Ability to work extended hours and weekends as necessary.
- Ability to come into our office every day. This role is 100% on site and in person.
- Currently a US Citizen with capability to obtain and maintain a US Q clearance.
Benefits & Perks
- The base salary range for this role is $125,000–$220,000 annually.
- Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. Please note that the stated salary range is an estimate and may be adjusted based on market conditions, business needs, or other factors. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.
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