Augmodo Logo

Augmodo

Software Engineer, Data Intelligence

Posted 4 Days Ago
Remote
Hiring Remotely in United States
150K-200K Annually
Entry level
Remote
Hiring Remotely in United States
150K-200K Annually
Entry level
Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.
The summary above was generated by AI
About Augmodo

Augmodo is building the "operating system for the physical shelf." We use spatial computing and wearable AI to provide real-time, store-level insights that were previously impossible to capture. We are moving fast, and our data needs to move even faster—while remaining hyper-accurate.

The Challenge

We are looking for a Software Engineer to own the logic behind our Spatial Data Ingestion & Conflation Engine. You will build the pipelines that take raw, complex data from the edge and transform it into high-fidelity insights for our customers. This role is about precision at scale: ensuring that when a brand or retailer looks at our data, it is versioned, reliable, and "production-ready."

Key Responsibilities
  • Build Staged Pipelines: Design and maintain versioned data pipelines that handle the ingestion and conflation of complex retail data (e.g., matching computer vision detections to master product catalogs).

  • High-Fidelity Output: Ensure that data outputs surfaced to consumer-facing dashboards meet a high quality bar for accuracy and reliability.

  • Hybrid AI Strategy: Implement a "right tool for the job" approach—building robust rules-based normalization and RegEx logic for bounded tasks, while strategically integrating LLMs to solve high-complexity data matching and entity resolution.

  • Scale & Cost Management: Architect solutions that are mindful of the massive scale of retail environments, ensuring AI integrations are cost-effective and performant.

  • Versioned Data Evolution: Manage the lifecycle of data schema and pipeline logic to allow for rapid iteration without breaking downstream consumer insights.

Required Qualifications
  • The "Data Plumber" Mindset: Extensive experience building reliable, staged pipelines for complex ingestion tasks.

  • Entity Resolution & Conflation: You have experience merging disparate, messy data sources into a unified "Golden Record."

  • Pragmatic AI Experience: You are comfortable with LLMs and prompt engineering but remain skeptical enough to know when a simple regex or bounded heuristic is the better engineering choice.

  • Engineering Rigor: You believe in versioning everything—from your code to your data schemas.

Bonus Points
  • Physical Product Domain: Experience in retail, logistics, or supply chain (handling SKUs, UPCs, and physical inventory data).

  • Spatial Data: Experience working with data that has a physical or geographic component (GIS, LIDAR, or Computer Vision metadata).


Augmodo offers benefits inclusive of medical, dental, vision and 401k

The salary range for this role is $150,000 - 200,000 USD +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

HQ

Augmodo Seattle, Washington, USA Office

Seattle, Washington, United States

Similar Jobs

12 Days Ago
In-Office or Remote
Seattle, WA, USA
180K-240K Annually
Senior level
180K-240K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.
Top Skills: Apache FlinkSparkGoJavaJvmKafkaKotlinKubernetesOlap EnginesVector Indexing
11 Hours Ago
In-Office or Remote
North Carolina, USA
44K-44K Annually
Internship
44K-44K Annually
Internship
Cloud • Information Technology • Internet of Things • Professional Services • Software
A 12-week internship focused on building data pipelines, machine learning workflows, and distributed systems. The intern will use Python, ML frameworks, Spark, Docker, and Kubernetes to develop, train, deploy, and scale models and intelligent data solutions. Responsibilities include supporting reliable, performant AI products and gaining experience with cloud platforms, scalability, fault tolerance, and production ML deployment.
Top Skills: AWSAzureDockerFlinkGCPHadoopKubernetesMapreducePythonPyTorchScikit-LearnSparkTensorFlow
4 Days Ago
In-Office or Remote
3 Locations
Senior level
Senior level
Transportation
Develops, maintains, tests, and supports enterprise applications and integrations within WMATA’s Digital Modernization portfolio. Builds scalable data pipelines and cloud-based solutions using OCI, Azure, Lakehouse architecture, and Autonomous Data Warehouse. Provides technical leadership, resolves complex system problems, manages configuration and version control, performs failure analysis, coordinates projects, prepares technical reports, and supports system reliability, production monitoring, and emergency outages.
Top Skills: Atlassian SuiteAutonomous Data WarehouseBpelJIRALakehouse ArchitectureAzureMicrosoft Office SuiteMicrosoft VisioOracle Cloud Infrastructure (Oci)RestSoapWsdlXMLXsd

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account