Senior Data Engineer Conduit

Conduits FactoryOS platform allows manufacturers to scale production-ready automation solutions in days not months. With a suite of powerful applications we allow manufacturers to automate faster and smarter by coordinating every robot machine and system on one platform. At Conduit our mission is to give every American manufacturer the power to automate their factories at lightning speed.

Were already deployed in production at top manufacturers and growing fast. Backed by leading investors and built by a team that moves at startup speed with deep conviction in American industrial dominance.

The Role
Factories generate enormous volumes of data from CNC telemetry streaming at millisecond intervals to production records spanning years of operation. Most of it is siloed underutilized or lost entirely. Were changing that.
Were looking for a Senior Data Engineer who can own the full lifecycle of manufacturing data at Conduit from designing the databases and pipelines that ingest high-frequency machine telemetry to building the analytics and models that turn that data into actionable intelligence for factory operators. This is a single role that spans DBA backend engineering and data science because at our stage the person closest to the data should be shaping every layer of the stack.
Youll be the foundational hire for our data infrastructure. Youll work directly with the founders and be on factory floors understanding the problems firsthand.

What Youll Do

• Own our data infrastructure. Design optimize and scale our time-series and relational databases (TimescaleDB PostgreSQL) to handle high-frequency telemetry from hundreds of machines streaming concurrently.
  
• Build data pipelines end-to-end. Architect ETL/ELT pipelines that ingest transform and route data from robots (ROS) or industrial protocols (MQTT Sparkplug B OPC UA) into queryable reliable storage.
  
• Deliver analytics and BI. Build dashboards and reporting systems that give manufacturers real-time visibility into cycle times OEE downtime and production trends.
  
• Apply data science where it matters. Develop predictive models for use cases like predictive maintenance anomaly detection and process optimization grounded in real production data not academic exercises.
  
• Handle high-frequency telemetry at scale. Design systems that can ingest downsample aggregate and serve machine data streaming at sub-second intervals without dropping packets or blowing up storage.
  
• Break down data silos. Integrate across MES ERP SCADA and custom machine interfaces to create a unified data layer that didnt exist before.
  
• Collaborate across the stack. Work closely with our backend ML robotics and frontend teams to ensure data infrastructure supports everything from real-time robot coordination to customer-facing analytics.

You

• 5 years of experience spanning database administration backend engineering and data analysis/science ideally all three not just one.
  
• Deep PostgreSQL / time-series database expertise. Youve tuned queries designed schemas for high-write workloads managed partitioning strategies and operated databases that actually matter in production.
  
• Strong Python backend skills. You build services not just notebooks. Production-grade code with proper error handling testing and observability.
  
• Experience with high-frequency data ingestion. Youve worked with streaming technologies (Kafka RabbitMQ ZeroMQ MQTT) and understand the challenges of ingesting storing and querying data that arrives at thousands of messages per second.
  
• Proven ETL/pipeline architecture. Youve designed and maintained data pipelines that are reliable idempotent and observable not fragile scripts held together with cron jobs.
  
• Analytics and modeling chops. You can build a dashboard run a regression and deploy a predictive model. You know when a simple SQL query beats a neural network.
  
• Youve operated at scale AND at a startup. You understand what good looks like from working at scale but you know how to move fast cut scope intelligently and ship with limited resources.
  
• Availability to work EST hours.

Bonus Points

• Experience with TimescaleDB InfluxDB or other purpose-built time-series databases
  
• Familiarity with manufacturing systems (MES ERP SCADA PLCs CNC controllers)
  
• Background in IIoT protocols (MQTT/Sparkplug B OPC UA)
  
• Experience with Kubernetes Terraform and infrastructure as code
  
• Familiarity with real-time dashboarding tools (Grafana Metabase custom)
  
• Experience with anomaly detection or predictive maintenance in industrial settings

What We Offer

• Top-tier pay and equity. We want to make it easy to join Conduit.
  
• Generational opportunity. Be early at a company defining the software layer for industrial automation.
  
• American re-industrialization is happening. Were building the platform to make it real faster.
  
• Zero bureaucracy. High impact. Youll be on the front lines solving real problems for real factories.
  
• You will level up. Youll work directly with the founders and exec team and grow into a senior operator.