Senior Data Engineer

Who you are

• A bachelor's degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of experience in data engineering and analytics technical strategy
• Proficiency in data engineering tech stack: Python / SQL / dbt / Airflow / Gitlab
• Proficiency in relational and cloud database platforms such as Snowflake, Redshift, or GCP
• Thorough knowledge of data modeling, database design, data architecture principles, data operations, and CI/CD
• Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans
• Experience with sensitive or regulated data and access controls
• Experience with AI agents or LLM-assisted analytics, and with the HR / People function, is advantageous

What the job involves

• We are looking for a talented and detail-oriented Sr Data Engineer to tackle data challenges.
• You will design, build, and maintain critical data pipelines and datasets, supporting areas like recruiting, compensation, talent management, and learning and development.
• Your work will enhance data accessibility and empower the People Team and business leaders to make informed decisions with high-quality, reliable data
• Develop and maintain robust data pipelines and datasets
• Build foundational data products for key business areas
• Enhance self-service data capabilities for the People Team
• Ensure high standards in ETL/ELT operations, data quality, and pipeline reliability
• Design and build production dbt models in Snowflake that integrate Workday and other People systems into well-modeled, documented datasets, including slowly changing dimensions for People history
• Build and operate Airflow DAGs that ingest People systems data and orchestrate dbt runs, keeping loads reliable and re-runnable
• Own data quality and observability: dbt tests, freshness checks, row-count validation, and monitoring so issues are caught before stakeholders see them
• Implement and maintain row-level security and access controls for People data, partnering with governance and security teams
• Build and maintain semantic models and AI agents, held to the same modeling, access, and quality standards as our pipelines
• Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners
• Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations
• Mentor other engineers through code review, modeling standards, and technical guidance

Benefits

• Comprehensive health, vision, dental, life insurance, and disability benefits
• Generous vacation and holidays
• Paid parental leave for eligible employees
• 401(k) and education on retirement planning
• Tuition reimbursement on approved programs, up to $5,250 per year
• Monthly contribution up to $200 to help you pay off your student loans
• Great health & well-being benefits including: telehealth parental support, subsidized gym program
• Flexible time off
• Fertility and family planning options
• Free financial classes