Software Engineer - Semantic Modeling

Job Description

Our client is seeking a Senior Software Engineer to join the team responsible for building and scaling a Semantic Data Modeling Layer. This is a full-time role focused on transforming raw, domain-ingested data into structured, trusted, and semantically meaningful entities that represent core business concepts. The platform enables analytics, business intelligence, and data-driven decision-making across the organization, leveraging modern cloud data technologies.

This opportunity sits at the center of the company’s data strategy. You’ll play a critical role in creating a single source of truth by consolidating fragmented data sources into unified, governed, and reusable semantic models. The team is looking for an engineer who is passionate about data quality, ownership, and building systems that scale and endure.

• 4–8 years of experience as a software engineer or data engineer
• Strong programming skills in Python, Java, or another backend language used for data services
• Advanced SQL skills and experience modeling large-scale, complex datasets
• Solid understanding of engineering fundamentals, including version control, modular design, testing, and performance optimization
• Experience working in high-volume or distributed systems environments
• Strong sense of ownership and accountability

• Experience with modern cloud data platforms such as Snowflake, Big Query, or Databricks
• Background in analytics, business intelligence, or metric-driven platforms
• Experience partnering closely with product or data teams to translate business requirements into technical solutions

• Design and build modular, reusable semantic definitions for business entities, metrics, and hierarchies
• Implement business rules, calculations, and aggregations within the semantic layer
• Define and enforce data governance principles to ensure consistent, compliant metric definitions
• Develop robust data models that ensure data quality, interoperability, and reliability across the organization
• Implement validation, testing, and monitoring to ensure accuracy of semantic models
• Partner with data product teams to align semantic models with business needs
• Participate in code reviews, design discussions, and incident resolution to promote high engineering standards

• 45% SQL & Semantic Data Modeling
• 30% Backend Development (Python / Java)
• 25% Cloud Data Platforms (Snowflake, Big Query, Databricks)

• 65% Hands-on development and data modeling
• 20% Cross-functional collaboration (data products, analytics, platform teams)
• 15% Design reviews, governance, and operational support

• Bonus eligible

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.