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9 дней назад

Software Engineer, Data Platform

125 000 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Data Platform (Python/SQL): Building and operating high-throughput data acquisition, storage, and streaming infrastructure for sensor telemetry in nuclear fuel test and production systems with an accent on reliable pipelines, time-series storage, and industrial data systems. Focus on designing ingestion services with buffering, backpressure, idempotency, and no silent data loss, while improving reliability across the full ingestion-to-storage stack.

Location: Los Angeles, CA, United States

Salary: $125,000–$220,000 annually

Company

hirify.global designs, builds, and operates low-cost uranium enrichment services in the United States to support nuclear energy, advanced manufacturing, and other critical industries.

What you will do

  • 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 data architecture, schema standards, testing strategies, software engineering practices, and operational standards for the data platform.
  • Collaborate with controls, test automation, and visualization teams to provide data for analytics and live dashboards.
  • Lead debugging, root cause analysis, and reliability improvements across the 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.
  • Production-level experience with Python and SQL.
  • Hands-on experience with high-throughput data ingestion and time-series or historian storage, including distributed systems and data reliability.
  • Experience with high-reliability, on-premise, 24/7 deployments in safety-critical environments.
  • Ability to work extended hours and weekends when necessary.

Nice to have

  • Experience with InfluxDB, TimescaleDB, Redis, and industrial data historians.
  • Experience with MQTT, DDS, OPC-UA, Kafka, or other streaming and pub/sub middleware.
  • Experience with observability, infrastructure-as-code, and visualization tools such as Grafana.
  • Background in industrial automation, aerospace, energy, finance or trading, telecom, or scientific research.
  • Technical leadership experience in setting engineering standards and mentoring engineering teams.

Culture & Benefits

  • Mission-driven environment focused on making nuclear energy more affordable.
  • Lean engineering and operations team using a first-principles approach.
  • Culture emphasizing urgency, accountability, and transparency.
  • Full-time hires may be eligible for stock options.
  • Medical, vision, and dental coverage, plus access to a 401(k) retirement plan.

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