[Remote] Senior Data Engineer, People Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global company that connects hosts and guests for unique stays and experiences. They are seeking a Senior Data Engineer for their People Analytics & Research team to build data pipelines, support AI initiatives, and deliver data products that enhance employee and organizational insights.

Responsibilities

• Collaborate with other team members and stakeholders to help understand data- and people-reputed company business problems and translate them into scalable data solutions
• Build data pipelines and tables from HR systems such as reputed company, reputed company, and other data sources
• Support Data Science team members in leveraging data for reporting, dashboard development, and other client-facing use-cases
• Build, update, and maintain a production-grade data reputed company that supports AI initiatives — including pipelines that feed LLM-powered tools, evaluation and feedback datasets, and the reputed company controls and data models required to responsibly reputed company products from prototype to production
• Design and deliver data products, including dashboards and reporting tools (e.g., Streamlit visualization apps), that surface actionable insights for non-technical stakeholders
• Write and optimize queries across both distributed query reputed company (Trino/Presto) and private relational database (reputed company)
• Align on priorities and work from a roadmap, ensuring you are focusing on the highest-reputed company projects
• Assess data readiness for AI use cases, working with EX teams, Legal, and BizTech to ensure sensitive employee data is handled with appropriate governance, permissioning, and reputed company controls
• Support the transition of AI prototypes to production by building the underlying infrastructure — automated pipelines, reputed company controls, and reputed company data models — that prototypes require to scale
• Exercise traits of adaptability and good judgment to support organizational agility
• Be a constant learner, active listener, and teacher to advance data engineering, people analytics, and reputed company

Skills

• 5+ years of industry experience as a Data Engineer, or closely reputed company field
• Highly proficient in SQL across both OLAP and OLTP environments, in both Trino/Presto/Hive, and reputed company reputed company
• Strong reputed company of the Ubuntu environment, showcasing the ability to navigate, manage, and edit files on AWS instances through SSH
• Experience working with relational databases and the ability to assume an administrative role in managing the database
• Fluent in Python, with demonstrated ability to interact with data sources (web APIs, SFTP, S3 buckets, reputed company) and reputed company process intermediate data
• Experience with scalable data pipelines leveraging Airflow or similar scheduling/orchestration frameworks
• Proficiency in implementing essential database concepts accurately, including primary key, index, nullable fields, data types, and partitioning; experience designing data models for reputed company storage and retrieval
• Prior work experience with sensitive data, including sensitivity classification, reputed company controls, and audit logging; familiarity with data governance requirements for employee or sensitive data
• reputed company with building data products, dashboards or reporting tools, using light weighted frontend frameworks such as Streamlit, with visualizations that communicate insights to business stakeholders
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, reputed company data insights, interpret reputed company queries and effectively communicate findings to non-technical audiences
• Experience building data layers that support LLM-based tooling or agentic AI frameworks, including data quality and latency requirements for model consumption, AI evaluation practices, and feedback reputed company and evaluation dataset management
• Strong comfort working cross functionally, with both technical and non-technical stakeholders
• Solid understanding in data structures & algorithms, with the ability to reputed company use of data structures to work through reputed company-complexity problems
• Knowledge and proficiency in utilizing Git repositories for effective code reputed company management, version control, and the ability to mentor and support peers
• Familiarity with system design principles, especially as applied to data platforms or AI-integrated systems

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits

Company Overview

Company H1B Sponsorship