Data Engineer (Employee Technology Support)

TL;DR

Data Engineer (Python/SQL): Building and automating data pipelines and ETL workflows for employee technology support with an accent on data modeling and KPI reporting. Focus on modernizing legacy reporting workflows, implementing data validation, and translating business requirements into actionable visualizations.

Location: Must be based in the United States (indicated by US-specific benefits)

What you will do

• Automate data flows and build robust data pipelines to support operational datasets.
• Design complex data models and develop ETL workflows for efficiency.
• Create comprehensive dashboards and KPI reporting to drive business decisions.
• Conduct root cause investigations and data profiling to identify trends and anomalies.
• Implement data validation, monitoring, and metadata management best practices.
• Modernize legacy reporting workflows and collaborate with engineering and product teams.

Requirements

• Strong proficiency in SQL and Python.
• Experience with ETL development and data modeling.
• Ability to translate business requirements into visualizations.
• Expertise in data validation, monitoring, and profiling.
• Bachelor's or Master's degree in Engineering or Science.
• Work authorization for the United States

Nice to have

• Experience with Power BI, Tableau, or Qlik Sense.
• Knowledge of Data Governance and Metadata Management.

Culture & Benefits

• Comprehensive health coverage including medical, dental, and vision insurance.
• Financial security with 401k matching and life insurance.
• Generous time off including paid holidays and PTO.
• Wellness programs and disability insurance (short-term and long-term).