Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer (Hybrid)

• Focus: End-to-end data platform development plus React-based user-facing applications

Description

Design, build, and maintain scalable batch and streaming data pipelines and data platform components (models, warehouses, and lakehouse solutions) for analytics and applications. Create secure, well-documented data services and APIs, and develop responsive front-end features using React with JavaScript or TypeScript. Ensure data quality, observability, lineage, alerting, and continuous improvements in performance, reliability, security, and cost.

Requirements

• 5+ years of professional experience in data engineering, software engineering, or closely related work
• Bachelor’s degree in Computer Science/Software Engineering/Data Science or equivalent experience
• Strong SQL and proficiency in a data-engineering language (Python, Scala, or Java) plus cloud data platform experience (Azure, AWS, or GCP)
• Experience with production-grade ETL/ELT pipelines
• Experience with data warehouses and/or data lakes/lakehouse platforms
• Hands-on experience with React; familiarity with TypeScript and component-based UI patterns
• Experience integrating front-end apps with REST or GraphQL APIs and handling asynchronous loading/error states
• Understanding of data modeling, schema evolution, data quality, and distributed processing
• Cloud experience with modern deployment or orchestration tools
• Strong communication and problem-solving skills

Responsibilities

• Design, build, and maintain batch and streaming data pipelines
• Develop and optimize data models, warehouses, and lakehouse solutions
• Build and maintain data services and APIs exposing trusted data to applications
• Develop responsive front-end features using React, JavaScript, or TypeScript
• Partner with product/analytics/engineering to translate workflows and data needs into usable interfaces
• Implement data quality checks, observability, lineage, and alerting; investigate and resolve issues
• Improve performance, reliability, security, and cost efficiency across data and application systems
• Apply engineering best practices (code review, automated testing, CI/CD, documentation, maintainable architecture)
• Mentor engineers and contribute to roadmaps and architectural decisions

Benefits

• Health and wellbeing benefits (medical, dental, vision, HSA/FSA, retirement savings, life insurance, paid vacation/holidays, tuition assistance, employee assistance)
• Bonus potential via incentive pay program
• Possible eligibility for relocation benefits (if applicable)