Senior Data Engineer, Business Operations

The Senior Data Engineer, Business Operations will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or related field.
• 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines.
• Strong programming proficiency in Python and PySpark for large-scale distributed data processing, data manipulation, automation, and pipeline development.
• Expert-level SQL for data modeling, complex transformations, and performance optimization.
• Experience with modern data lake table formats such as Apache Iceberg.
• Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing.
• Hands-on experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers).
• Knowledge of core AWS or Azure data services and data observability practices.
• Experience optimizing data models for BI and visualization tools (e.g., Tableau).
• Ability to define business metrics and derive semantic meaning from operational KPIs.
• Master’s degree or higher in a quantitative or technical field.
• Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers.
• Knowledge of ontology-based modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric).
• Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs.
• Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations.
• Experience in regulated industries (e.g., biopharma, healthcare, finance).
• Experience in a BizOps or highly cross-functional technical role.
• Hands-on experience with Snowflake architecture.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance

Tagged as: Data Analysis, SQL