Senior Data Engineer - Data Ops

Pluralsight

105d • $119,100 - $165,400

About The Position

At Pluralsight, we are an established team of data practitioners supporting our Pluralsight platform as well as decision makers across the company. We use data to improve outcomes for our colleagues, our leadership, our customers, and everyone in Pluralsight. We are a team that values and encourages diverse ideas, backgrounds, and strengths. In this role, you will need to use your knowledge of data pipeline orchestration, data warehouse performance, data migration, data infrastructure, and data architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to a data platform via the utilization of version control, testing, validation, and continuous integration.

Requirements

• 5+ years of taking a multidisciplinary approach to data operations: we emphasize picking the right tool for the job
• 5+ years of experience with cloud data technologies (Snowflake preferred) and data modeling standard methodologies
• 3+ years of experience automating a data platform with scripting tools (i.e. Python (preferred) Powershell, Bash)
• 3+ years of experience with advanced orchestration tools (i.e. Airflow (preferred), Prefect, Dagster)
• 3+ years of experience with tools for ingesting data (i.e. Fivetran (preferred), Stitch, Airbyte, Portable.io) and reverse ETL tools (i.e. Census, Hightouch)
• 5+ years of experience developing, operating and maintaining data pipelines utilizing open source dbt core
• 5+ years of experience working in a cloud environment (AWS preferred) including technologies such as IAM, Lambda, RDS, AppFlow, Glue, EC2, and S3 among others

Responsibilities

• Building and maintaining production data pipelines for analytics across the business
• Developing tooling and solutions for data practitioners across the company using a deep understanding of their objectives and problems
• Improving observability and maintainability in our data platform, including uptime, usage, data quality, and data freshness
• Committed to improving processes throughout the data environment via automation
• Creating, implementing, and improving standards for production-worthy data flows
• Create and maintain documentation on processes, policies, application configuration and help-related materials as applications are developed

Benefits

• Competitive compensation packages
• Medical coverage
• Unlimited PTO
• Wellness reimbursements
• Pluralsight subscription
• Professional development funds

What This Job Offers

• Number of Employees: 1,001-5,000 employees