People Data Engineer

Job Title: HR Data Engineer Location: Onsite Role in San Jose, CA Duration: 06+ Months Contract with Possible Extension Pay Range: $65- $68 Per Hour on W2 Ideal Candidate: The ideal candidate is a hands-on data engineer who can build scalable data architectures and transform messy HR data into clean, self-serve datasets. Day to day, they will write SQL/Python scripts, build dimensional models in Snowflake, and use dbt to support our analytics tools. Culturally, we need someone who is scrappy, highly collaborative, and comfortable with ambiguity. The perfect fit prioritizes getting things done and making a business impact over rigid perfectionism . Must Hav • esSnowflake, SQL, & Python: Expert, hands on experience with Snowflake (including performance tuning and partitioning), plus strong SQL and Python skill • s.dbt & Data Modeling: Proven experience building data pipelines and dimensional models using db • t.3+ Years Data Engineering: Solid background in data or analytics engineering, with experience modeling data for visualization tools (like Tableau, Looker, or Visier • ).HR/People Data Experience: Mandatory prior experience working specifically with HR or People data, alongside the ability to navigate, clean, and structure incomplete or ambiguous dataset • s.Scrappy & Pragmatic (Soft Skill): A flexible, results oriented mindset that focuses on rapid delivery and tangible impact over perfectio n. Job Bri ef:This role sits at the intersection of data engineering and People analytics. You'll build the technical foundation that powers insights about the employee life cycle from hiring to exit while actively experimenting with AI to improve the efficiency of our data infrastructu re.As a member of the people analytics team, you'll design scalable data architectures, optimize our analytics infrastructure, and transform raw data into trusted, reusable datasets. But you'll also need to be scrappy. We value creativity and pragmatism alongside technical excellen ce.This role offers the opportunity to make a significant impact on how we attract, develop, and retain the exceptional talent needed as we are scaling as a compa ny. Responsibilit ies:Data Infrastructure & Mode ling • Create a scalable data foundation that supports visualization tools such as Tableau or HR analytics tools such as Visier platform, and enables strategic insights across the comp any. • Design scalable data architectures and build dimensional models that transform raw data into trusted, reusable datasets for self-serve analytics while maintaining perform ance • Model downstream tables for custom reporting and analy tics • Partner with IT to implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting sys tems • Develop and maintain automated reporting solutions that scale with organizational gr owth Partners hips: • Partner with stakeholders to define and scope people analytics data required needs that align with organizational goals • Work directly with people analytics team members/analysts to understand business challenges and translate them into scalable technical solu tions • Advise on best practices for integrating and analyzing data from various HR systems and external so urces Require ments: • Have 3+ years in data engineering or analytics engineering with experience in people analytics, or related fields • You are an expert in Snowflake or other cloud tools and processes including optimization, partitioning, and performance tuning • Proficient in SQL, Python, and modern tools li ke dbt • Have experience with data visualization tools (Tableau, L ooker) • Have implemented data security and privacy controls in cloud environment (Preferred not req uired) • You are comfortable working with messy or incomplet e data • You are creative and scrappy, results-oriented with a bias towards flexibility and impact over perf ection