Augury
SoftwareDataEngineer,DataPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Data Engineer, Data Platform at Augury. Skills: Data Engineering, Software Engineering, Data Platform, Industrial AI. Design end-to-end data flows. Build reliable pipelines”
Industry & Context.
Debugging; Data quality monitoring; Production incident response; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 4+ years professional software development experience, Python software engineering experience, SQL software engineering experience, Data modeling software engineering experience, Experience designing systems for events, Experience with at least one cloud platform, Experience with modern data technologies, Experience with streaming or messaging systems, Operational and debugging skills, Written communication skills, Verbal communication skills
Nice to Have
Advanced degrees or equivalent practical experience, Experience in industrial environments, Experience in manufacturing environments, Experience in IoT environments, Experience in large-scale data platform environments, Digital Twin architectures experience, Contextual data models experience, Context graphs experience, Knowledge graphs experience, Relationship-based data modeling experience, Experience supporting AI/LLM-powered products, RAG systems experience, Experience working with Databricks
What You'll Do.
Design end-to-end data flows
Build reliable pipelines
Model context and relationships
Define dataset storage
Define dataset modeling
Define dataset exposure
Build maintainable Python services
Apply data modeling practices
Drive engineering quality
Design for observability
Design streaming-first architectures
Evolve lakehouse architectures
Build reliable event-driven services
Contribute to multi-tenant architectures
Design scalable data models
Design scalable context services
Translate requirements into solutions
Participate in design reviews
Participate in code reviews
Participate in technical discussions
Collaborate across distributed teams
How You'll Work.
Team & Collaboration
Partner with platform teams; Partner with AI teams; Partner with DIH teams; Partner with Smart Canvas teams; Partner with Product teams; Collaborate across globally distributed teams
Communication Scope
Written communication; Verbal communication
Full Job Description
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. Our Data Intelligence Hub (DIH) is building the next generation Industrial Data Intelligence platform: a contextual layer that connects machine health, operational, maintenance, engineering, and enterprise data on top of a site Digital Twin backbone. We use this foundation to power agentic, AI-native experiences that help users explore their sites, answer complex questions, and make better decisions in one place. You will be a core member of DIH, building production-grade data services and pipelines that power our Digital Twin, products, analytics, and AI agents. This is not a traditional ETL or BI-focused Data Engineering role. We are looking for an engineer with experience building data-intensive software systems, with a strong emphasis on clean architecture, reliability, scalability, and testing. Working closely with peers across India, Israel, and other global locations, you will help transform industrial and operational data into trusted, scalable, and actionable context for users, applications, and AI systems. A Day In Your Life Production Data Systems & Pipelines Design and implement end-to-end data flows, from raw event ingestion through durable storage and modeled datasets that power products, Digital Twin experiences, and AI agents. Build reliable, incremental pipelines that support deduplication, late-arriving data,
Applying for this Software Data Engineer, Data Platform role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Augury?
Real rants from real employees. Read before you apply.