Augmodo Logo

Augmodo

Software Engineer, Data Intelligence

Posted 13 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.

Similar Jobs

2 Days Ago
Remote
US
150K-188K Annually
Senior level
150K-188K Annually
Senior level
Biotech
Leads architecture and hands-on development of scalable data pipelines, governed data models, semantic layers, analytics products, and AI workflows. Writes production SQL and Python, establishes engineering standards, mentors engineers, and drives design reviews. Builds agentic and LLM solutions using retrieval and managed AI services while ensuring data quality, observability, reliability, privacy, and regulatory compliance for PHI and genomic data. Partners with stakeholders, platform teams, and governance forums to deliver trustworthy business solutions.
Top Skills: AirflowAWSAws BedrockDagsterDbtEhrLaboratory Information SystemsLangchainLanggraphLlmsLookerPower BIPrefectPythonRagSalesforceSigmaSnowflakeSnowflake CortexSnowparkSQLTableauTerraform
7 Days 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
Build data pipelines and machine learning workflows for Cisco products. Develop, train, deploy, and scale models using Python and ML frameworks such as PyTorch or scikit-learn. Work with distributed processing and orchestration tools including Spark and Kubernetes while supporting performant, reliable AI data systems. The 12-week internship includes technical learning, cross-functional collaboration, networking, and exposure to product and platform development.
Top Skills: AWSAzureDockerFlinkGCPHadoop MapreduceKubernetesPythonPyTorchScikit-LearnSparkTensorFlow
9 Days 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

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account