1 month ago
Remote, United StatesMid Level
H1B sponsor
Responsibilities
- Build and maintain HR data pipelines and dbt models in BigQuery on centrally provisioned GCP infrastructure.
- Integrate employee lifecycle data from Workday, Greenhouse, Qualtrics, and ServiceNow.
- Support and enhance the AI-powered analytics experience.
- Develop self-service dashboards and data visualizations using BI or code-based tools.
- Automate recurring recruiting reports and identify recruiting pipeline, candidate experience, and hiring-efficiency insights.
- Implement access controls, data validation, documentation, anomaly monitoring, and governance for sensitive HR data.
- Build data proficiency across the HR organization and establish a consistent source of truth across systems.
Requirements
- At least 2 years of hands-on experience building and maintaining data pipelines in Google Cloud Platform.
- Strong SQL and Python skills.
- Direct experience extracting and modeling data from at least one major HRIS or ATS, such as Workday or Greenhouse, through a reporting or API layer.
- Experience building custom dashboards and visualizations with tools such as Looker, Tableau, Python, Streamlit, or Plotly.
- Understanding of HR programs and metrics across the employee lifecycle, including recruiting.
- Strong storytelling and presentation skills for executive, VP, and non-technical audiences.
- Experience working across geographies and time zones and tailoring insights to diverse audiences.
- A perspective on AI/LLM-based analytics tools; direct implementation experience is a plus.
- Ability to build solutions, frameworks, and processes with limited existing scaffolding within an established architecture.
Benefits
- Distributed work environment with flexible locations and schedules for many roles.
- Health coverage for employees and families in many locations.
- Generous vacation allowance.
- Elastic matches up to $2,000, or local currency equivalent, for financial donations and service.
- Up to 40 volunteer hours each year.
- At least 16 weeks of parental leave.
Tech Stack
Categories
Data Engineering
About Elastic
Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.