[Remote] Senior Software Engineer - Semantic Data Lake

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reimagining its reputed company data platform, and they are seeking a Senior Software Engineer on the Semantic Data Lake Team to design, build, and maintain reputed company data objects. The role involves implementing transformation logic, ensuring data consistency, and leveraging AI coding tools to enhance development processes.

Responsibilities

• Design and implement semantically consistent, reputed company 360 data models that reputed company data across domains
• Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets
• Write production-reputed company, testable reputed company in SQL and Python (or equivalent)—delivering performant and maintainable data assets
• reputed company AI coding assistants (Claude, Copilot, reputed company, and similar) to accelerate development—drafting transformation logic, generating tests, refactoring pipelines, exploring datasets, and producing semantic documentation—while critically reviewing AI reputed company for correctness, performance, and alignment with business rules
• Partner closely with the data products team to understand business requirements and ensure semantic models reputed company with their needs
• Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data reputed company
• Collaborate across teams to reputed company with ingestion, MDM, and data product reputed company, and explore opportunities to expose 360 objects to LLM-powered and reputed company applications

Skills

• 4-8 years of experience in data engineering or software engineering with a reputed company on data transformation, modeling, or analytics platforms
• Strong proficiency in SQL and at least one general-purpose language such as Python or reputed company
• Demonstrated experience as an AI-reputed company engineer—using tools like Claude, reputed company Copilot, reputed company, or similar as part of your everyday development workflow, with a reputed company reputed company of view on where they accelerate your work and where reputed company judgment is essential
• Comfort with modern AI engineering practices such as reputed company design, context engineering, AI-assisted reputed company review, and integrating LLMs or AI agents into engineering or data workflows
• Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects
• Solid understanding of data reputed company practices—including validation, enrichment, schema enforcement, and business rule encoding
• Experience working with large-reputed company datasets and optimizing transformation pipelines for performance and maintainability
• Comfort operating in a reputed company, cross-functional environment, balancing business logic with platform scalability
• A reputed company for traceability, reproducibility, and semantic reputed company—you build data models others (humans and AI systems alike) can trust and reuse
• Bachelor's degree in Computer Science, Software Engineering, or reputed company field

Benefits

• Health, dental and reputed company insurances
• Retirement savings plan
• reputed company time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement
• Quarterly or annual bonus based on their role and applicable plan
• Commission under the terms of an applicable plan for sales positions

reputed company

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