Note: The job is a remote job and is open to candidates in USA. Pluralsight is a company dedicated to accelerating the technology skills of the workforce. The Senior Engineer, Platform Analytics role focuses on building and operating data pipelines and models to create a reliable analytics experience for customers.

Responsibilities

• Build and operate the data pipelines that feed Platform Analytics — event ingestion and entity/reference ingestion into Snowflake — to a high standard of reliability and quality
• Build and operate the traditional data-engineering ELT to create a reliable source of truth in the data warehouse
• Contribute to the data models, curating and modeling source-system data into trusted, conformed datasets and applying dimensional modeling and engineering best practices
• Support production performance, reliability, and cost — performance tuning, monitoring and alerting, and resource management
• Help evolve the platform toward its target-state architecture, implementing the design and providing architectural and scale recommendations
• Lead the development lifecycle for your work — implementation, testing, and deployment — collaborating with the team to deliver and maintain the platform
• Help mentor junior engineers and contribute to team standards for code quality and ways of working
• Use AI coding tools productively in daily engineering work — accelerating development, testing, and debugging

Skills

• Requires a minimum of 8 years of related or equivalent experience; or 6+ years with an advanced degree
• Strong, current, hands-on experience designing and delivering data warehouses and analytical datasets — including data curation, integration, and data-quality processes
• Strong SQL development and performance tuning on analytical databases (e.g., Snowflake)
• Experience with streaming and real-time data processing (e.g., Kafka) and with change-data-capture (CDC) ingestion for entity/reference data
• Experience with dimensional data modeling and with source control, testing, and deployment workflows for ELT (e.g., dbt, git-based CI/CD)
• Experience with workflow orchestration tools (e.g., Apache Airflow) for scheduling, dependency management, and monitoring of production data pipelines
• Productive, fluent use of AI coding tools in day-to-day engineering work
• Ability to provide architectural, scale, and reliability recommendations, and to collaborate effectively within an Agile team
• Good communication skills — a strong collaborator and trusted teammate, able to partner with the product and the team

Benefits

• Competitive compensation
• Bonus eligibility
• Comprehensive medical coverage
• Unlimited PTO
• Wellness reimbursement
• Professional development funds

Company Overview

Company H1B Sponsorship