Forward Deployed Engineer (Data)
First Resonance
- Los Angeles, United States
- Mid Level
- 5+ years
- Posted
Skills
Required
- manufacturing / supply-chain / ERP / PLM / MES / quality / industrial data
- software engineering
- APIs
- event streams
- data engineering
- analytics
- building production data systems
- technical plans
- Python
- SQL
- dbt / Airflow / Dagster / Kafka
Preferred
- forward deployed engineering / solutions architecture / technical consulting / implementation engineering
- build reliable data pipelines
- model complex manufacturing operations
- establish data trustworthiness
- go-live
- documentation
- webhooks
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.
Responsibilities
- 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
Requirements
- 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
Preferred
- 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
Pay
USD 150,000 - 190,000
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