Senior Data Engineer

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data.

The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives.

Responsibilities

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
• Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications.
• Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets.
• Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.
• Design and implement data quality, validation, and monitoring processes.
• Support both batch and near real-time data integration requirements.
• Develop APIs and data services that enable internal and customer-facing applications.
• Optimize data pipeline performance, scalability, and cost efficiency.
• Document data architectures, pipeline processes, and engineering standards.
• Evaluate emerging technologies and recommend improvements to the organization's data platform.
• Mentor team members and help establish engineering best practices.

Qualifications

• 7+ years of experience in Data Engineering, Software Engineering, or a related field.
• Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake.
• Strong proficiency with Python and data engineering development practices.
• Experience designing and maintaining large-scale ELT/ETL pipelines.
• Strong understanding of data modeling, data warehousing, and distributed data architectures.
• Experience integrating structured and semi-structured data from multiple internal and external sources.
• Familiarity with data orchestration and transformation frameworks.
• Strong troubleshooting and performance optimization skills.
• Excellent communication and stakeholder management skills.
• Ability to work independently while managing multiple initiatives.

Preferred Qualifications