Data Platform Engineer — Manufacturing Data Backbone

Hadrian Automation; Los Angeles (CA); On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Medical insurance

401k

Relocation support

Flexible vacation policy

Equity

Job summary

Hadrian is building autonomous factories to accelerate American manufacturing. As a Data Platform Engineer, you will own data flow from source to trusted datasets, enabling analytics, ML, and operations across factory signals, quality events, and work orders.

You will work with machines, PLCs, historians, and industrial protocols to ensure reliable datasets and scalable pipelines. You’ll design and operate ingestion, CDC, and streaming pipelines, manage versioned contracts, and collaborate with

Qualifications

• Experience building and operating production data infrastructure or distributed data systems, including on‑call ownership and recovery efforts.
• Strong production Python and advanced SQL and data‑modeling skills, including incremental processing, temporal data, and schema evolution.
• Experience with Kafka or another event‑streaming platform, plus CDC or other stateful incremental pipelines.
• Experience operating Snowflake, and with a lakehouse table format such as Iceberg, Delta, or Hudi, including expertise in partitioning and compaction.

Responsibilities

• Build the data backbone for autonomous factories, transforming machine signals, quality events, work orders, and application changes into trusted data used by scheduling, ML, and operations.
• Build ingestion, CDC, and streaming capabilities for transactional data, events, telemetry, and files; explicitly manage ordering, deletes, retries, replay, idempotence, and backpressure.
• Define versioned data and event contracts with upstream teams, supported by testing and service targets for freshness, completeness, and correctness.
• Model telemetry, quality events, work orders, and operational data into datasets with explicit grain, identity, time, provenance, and history.
• Own Dagster orchestration, dbt transformation, data CI/CD, backfills, lineage, observability, and offline feature datasets for ML.
• Collaborate with Manufacturing Operations and Infrastructure to acquire data from machines, PLCs, historians, OPC‑UA, MTConnect, and MQTT sources as needed.

Skills

Python

SQL

Data modeling

Kafka

dbt

Dagster

Airflow

Kubernetes

Go

Rust

Tools

Snowflake

Iceberg

Hudi

Delta

Dagster

Airflow

Kubernetes

Job description

Hadrian is building autonomous factories to accelerate American manufacturing. As a Data Platform Engineer, you will own data flow from source to trusted datasets, enabling analytics, ML, and operations across factory signals, quality events, and work orders.

You will work with machines, PLCs, historians, and industrial protocols to ensure reliable datasets and scalable pipelines. You’ll design and operate ingestion, CDC, and streaming pipelines, manage versioned contracts, and collaborate with