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.
This role sits at the center of the organization's data-as-a-service platform, where raw data is transformed into trusted, reusable business assets. You'll help define how the business understands key entities such as customers, fleets, and providers by building scalable, semantically rich data models. If you enjoy translating real-world business concepts into durable data structures that support analytics, machine learning, and product teams at scale, this role offers meaningful impact and long-term growth.
Required Skills & Experience
- 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
Desired Skills & Experience
- 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
What You Will Be Doing
- 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
Tech Breakdown
- 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
Daily Responsibilities
- 75% Hands-On Engineering & Data Modeling
- 15% Cross-Team Collaboration
- 10% Documentation, Standards, and Governance
The Offer
You will receive the following benefits:
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) (including match, if applicable)
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