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
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