Senior Engineer, Platform Analytics

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $144.4k - $190k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Pluralsight

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🛍️ eCommerce

📚 Education

🏢 Enterprise

💰 $31G Series C on 2016-12

eCommerce • Education • Enterprise

Pluralsight is a technology skills platform offering comprehensive learning tools for individuals and organizations. It aims to empower users to develop critical tech skills, enhance tech fluency, improve software delivery, and utilize AI in various capacities. Pluralsight provides solutions for cloud transformation, engineering onboarding, upskilling, and reskilling tech teams to achieve mission-critical projects. With offerings like Pluralsight Skills, A Cloud Guru, and Flow, it helps enhance productivity and streamline processes for businesses, public sector, healthcare, and more. Its platform includes courses, labs, certification preparation, and hands-on learning for developers, IT Ops, and security professionals.

📋 Description

• 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.

🎯 Requirements

• 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