First Resonance · Posted 3w ago
Forward Deployed Engineer (Data)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 Los Angeles, United States
- Contract
- Full-time
- Role
- Data engineering
- Source
- Stapply Data
The posting
Join First Resonance, a company revolutionizing manufacturing with its ION Factory OS. As a Forward Deployed Engineer (Data), you will work directly with customer data, manufacturing, and IT teams to turn fragmented manufacturing data into durable, production-grade data products and pipelines. This hands-on, customer-facing engineering role involves designing architecture, writing production code, validating data, launching with users, and ensuring reliability. You will also build reliable data pipelines, model complex manufacturing operations, establish data trustworthiness, and convert successful customer work into reusable pipelines and platform improvements.
- Deliver customer data solutions end to end, leading discovery, requirements, architecture, implementation, testing, go-live, documentation, and operational handoff for high-value customer use cases. - Build reliable data pipelines, ingesting, transforming, reconciling, and serving data across ION and customer systems using APIs, webhooks, event streams, batch workflows, and modern data tooling. - Model complex manufacturing operations, translating parts, bills of materials, work orders, inventory, quality, labor, costs, and engineering changes into clear and maintainable data models.
- If you do four of these five things well, we encourage you to apply. We care more about evidence of ownership, learning, and shipped outcomes than a perfect keyword match - 5+ years of experience in data engineering, software engineering, analytics engineering, or another role building production data systems - Ability to work directly with customers, turn ambiguous operational problems into clear technical plans, and communicate tradeoffs to both engineers and business leaders - Sound judgment around distributed-system and data-quality failure modes, including idempotency, ordering, schema evolution, reconciliation, observability, and access control - Experience building and operating data pipelines across APIs, transactional databases, event streams, object storage, and cloud data platforms - Strong programming ability in Python and fluency with SQL, data modeling, and software-engineering practices such as testing, version control, and code review - Experience with manufacturing, supply-chain, ERP, PLM, MES, quality, or industrial data - Experience designing metrics layers, analytical data products, or operational reporting used by frontline teams - Experience with AWS and modern data technologies such as dbt, Airflow or Dagster, Kafka or similar event systems, and cloud warehouses or lakehouses - Familiarity with enterprise security, regulated environments, air-gapped networks, or customer-managed infrastructure - Experience in a customer-facing technical role such as forward deployed engineering, solutions architecture, technical consulting, or implementation engineering