Senior Software Engineer

Job Description

This is a full-time Senior Software Engineer opportunity focused on semantic data modeling within a large-scale enterprise data platform. The role is based in the Boston area (hybrid or remote depending on team needs) and centers on designing and building core entity-based datasets that power analytics, AI, and data-driven products. You will work primarily with SQL- and Python-based data systems in a modern cloud data environment.

• 4+ years of experience in data engineering or software engineering with a strong focus on data modeling or transformation
• Advanced proficiency in SQL
• Strong experience with Python, Scala, or a comparable general-purpose programming language
• Experience designing and maintaining wide, entity-centric datasets
• Proven ability to work with large datasets and optimize data pipelines for performance and reliability
• Strong understanding of data quality, validation, and business rule implementation
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field

• Experience building semantic or canonical data models used across multiple business domains
• Background supporting analytics, AI, or machine learning use cases
• Familiarity with data governance, documentation standards, and lineage tracking
• Experience working in a cross-functional environment with product, analytics, and data science teams
• Advanced degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics

• Design and implement scalable 360-style data models that unify information across domains
• Build and maintain transformation pipelines that apply cleansing, normalization, enrichment, and derived logic
• Translate business definitions into interpretable, decision-ready data structures
• Write production-quality, testable SQL and Python code supporting enterprise-scale data assets
• Implement classifications, KPIs, scoring logic, and rule-based calculations with clear traceability
• Establish and maintain standards for data modeling, documentation, and semantic consistency
• Partner with ingestion, master data, analytics, and product teams to ensure seamless integration
• Support long-term maintainability and reuse of core data assets

• 40% SQL-Based Data Modeling & Transformation
• 30% Python / General-Purpose Programming
• 20% Data Quality, Business Rules & Semantics
• 10% Collaboration with Analytics, AI, and Product Teams

• 75% Hands-On Engineering & Data Modeling
• 15% Cross-Team Collaboration
• 10% Documentation, Standards, and Governance

• Full-time position

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) (including match, if applicable)