Forward Deployed Engineer, Data (Manufacturing)

Location: Los Angeles, United States; on-site

Salary: $150K–$190K per year, plus equity.

Company

hirify.global builds ION Factory OS, a manufacturing operating system for companies developing rockets, satellites, electric aircraft, clean energy systems, robotics, and autonomous vehicles.

What you will do

• Lead customer data solutions from discovery and requirements through architecture, implementation, testing, launch, documentation, and operational handoff.
• Build and operate data pipelines across ION and customer systems using APIs, webhooks, event streams, batch workflows, and modern data tooling.
• Model manufacturing operations including parts, bills of materials, work orders, inventory, quality, labor, costs, and engineering changes.
• Establish validation, observability, lineage, access controls, retry and backfill patterns, and incident-response practices.
• Convert successful deployments into reusable pipelines, semantic models, reference architectures, test harnesses, runbooks, and platform improvements.
• Work directly with customer data, manufacturing, and IT teams while communicating technical tradeoffs to technical and business stakeholders.

Requirements

• 5+ years of experience building production data systems in data engineering, software engineering, analytics engineering, or a related field.
• Strong Python programming skills and fluency with SQL, data modeling, testing, version control, and code review.
• Experience building and operating pipelines across APIs, transactional databases, event streams, object storage, and cloud data platforms.
• Understanding of distributed-system and data-quality concerns including idempotency, ordering, schema evolution, reconciliation, observability, and access control.
• Ability to work directly with customers and turn ambiguous operational problems into clear technical plans.
• Must be authorized to work in the United States; hirify.global participates in E-Verify.

Nice to have

• Experience with manufacturing, supply chain, ERP, PLM, MES, quality, or industrial data.
• Experience with AWS, dbt, Airflow or Dagster, Kafka or similar event systems, and cloud warehouses or lakehouses.
• Experience designing metrics layers, analytical data products, or operational reporting for frontline teams.
• Familiarity with enterprise security, regulated environments, air-gapped networks, or customer-managed infrastructure.
• Experience in forward deployed engineering, solutions architecture, technical consulting, or implementation engineering.

Culture & Benefits

• Medical, vision, dental, and life insurance.
• Paid parental leave, holidays, and sick days.
• Employee stock option plan and 401(k).
• Flexible Friday and paid time off.
• Team outings, group lunches, an open office, and happy hours.