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Software Engineer
AugmodoSoftware Engineer responsible for building pipelines transforming complex retail data into insights at Augmodo. Focus on high-fidelity outputs leveraging AI strategy in spatial computing.
Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining versioned data pipelines for complex retail data ingestion, ensuring high-quality outputs for consumer-facing dashboards. Proficient in merging disparate data sources into a unified 'Golden Record' while applying appropriate engineering solutions such as LLMs and RegEx.
Highest-signal resume keywords
Data Pipeline DevelopmentData Schema ManagementLLM IntegrationRegEx Logic ImplementationGolden Record Creation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionData NormalizationVersion ControlData Quality AssuranceData Conflation
Industry Keywords
Retail DataConsumer InsightsData ArchitectureData Lifecycle ManagementPrompt Engineering
About the role
Key responsibilities & impact- Design and maintain versioned data pipelines that handle the ingestion and conflation of complex retail data.
- Ensure that data outputs surfaced to consumer-facing dashboards meet a high quality bar for accuracy and reliability.
- Implement a "right tool for the job" approach—building robust rules-based normalization and RegEx logic for bounded tasks, while strategically integrating LLMs.
- Architect solutions that are mindful of the massive scale of retail environments.
- Manage the lifecycle of data schema and pipeline logic to allow for rapid iteration without breaking downstream consumer insights.
Requirements
What you’ll need- Extensive experience building reliable, staged pipelines for complex ingestion tasks.
- You have experience merging disparate, messy data sources into a unified "Golden Record."
- 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.
- You believe in versioning everything—from your code to your data schemas.
Benefits
Comp & perks- medical
- dental
- vision
- 401k