Design, build, and maintain scalable data pipelines supporting infrastructure deployment, operations, capacity planning, and supply chain functions.
Develop trusted datasets and reporting systems that provide visibility into hardware inventory, deployment status, site readiness, capacity utilization, and operational performance.
Partner with cross-functional stakeholders to define metrics, establish data standards, and improve decision-making across infrastructure organizations.
Create scalable data models that enable consistent reporting and analytics across multiple data sources and operational systems.
Improve data quality, lineage, observability, and governance practices across critical infrastructure datasets.
Support executive reporting, operational reviews, forecasting exercises, and strategic planning initiatives through reliable analytical foundations.
Collaborate with engineering teams to integrate new data sources and operational telemetry into existing analytics ecosystems.
Build solutions that reduce manual reporting efforts and improve the speed and accuracy of infrastructure decision-making.
Document systems, processes, and analytical frameworks to improve long-term maintainability and organizational resilience.

5+ years of experience building and maintaining production data pipelines and analytical systems.
Strong proficiency in SQL and experience designing scalable data models.
Proficiency in Python or another programming language commonly used for data engineering.
Experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift) and orchestration frameworks (e.g., Airflow, Dagster).
Experience designing reliable ETL/ELT workflows with a focus on maintainability, performance, and operational excellence.
Experience partnering with cross-functional stakeholders to translate business requirements into technical solutions.
Experience implementing data quality checks, monitoring, and observability practices in production environments.

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Data Engineer, Scaling Analytics

Key skills