Data Platform Engineer — Autonomous Factory Tech

Iac/interactivecorp; Sacramento (CA); On-site; USD 150,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k

Relocation stipend

Flexible vacation

Job summary

Hadrian is building autonomous factories to accelerate aerospace and defense industries. We are seeking a foundational software engineer on our data platform team to lead data aggregation, storage, and analytics work across large-scale projects.

You will own data architectures, build data warehouses, and deploy data pipelines leveraging Go, Python, and modern tooling. Join a fast-paced team shaping the future of manufacturing infrastructure.

Qualifications

• Bachelor's degree in Computer Science or equivalent experience.
• Experience shipping data-centric applications and data platforms.
• Strong knowledge of data architectures, ETL patterns and data warehouses.

Responsibilities

• Scope, architect, implement, and deploy data-centric applications.
• Build and manage a robust data warehouse and data pipelines.
• Design data architectures for large-scale projects across on‑prem and cloud.
• Create data frameworks spanning on-premises and cloud infra and improve logging of machine data.
• Collaborate with engineers, product managers, and data scientists to transform data into insights.
• Contribute to data integration solutions across diverse data sources.

Skills

Data-centric apps

Cloud data pipelines

Cross-functional collaboration

Strong communication

Education

Bachelor's degree in CS or equivalent

Tools

Go

Python

Kafka

Argo-Workflows

Dagster

Superset

Aurora

RDS

S3

Kubernetes

Helm

Terraform

Job description

Hadrian is building autonomous factories to accelerate aerospace and defense industries. We are seeking a foundational software engineer on our data platform team to lead data aggregation, storage, and analytics work across large-scale projects.

You will own data architectures, build data warehouses, and deploy data pipelines leveraging Go, Python, and modern tooling. Join a fast-paced team shaping the future of manufacturing infrastructure.