Senior Data Scientist

What you’ll do: Lead the design and implementation of a scalable Enterprise Data Warehouse (EDW) and data engineering solutions using Azure, Fabric, Power BI, and Cognite Data Fusion®. Evaluate and select data technologies, frameworks, and platforms to support future business scaling needs. Drive integrations, extractions, data modeling, and analysis using data connectors and SQL, Python/Java, and REST APIs. Develop and maintain ETL/ELT pipelines to move data into data warehouses or data lakes. Clean, transform, and aggregate raw data into structured formats optimized for Power BI reporting and AI agents. Create custom data models for data discovery, mapping, and cleansing by defining conceptual, logical, and physical data models. Establish standards for data quality, security, privacy, and compliance including GDPR and CCPA. Collaborate with business stakeholders and engineering organizations to enable data-driven business decisions. What you bring Bachelor’s or Master’s degree in computer science or a related field, with relevant experience able to compensate for formal education. A business degree (MBA) or demonstrated experience working in finance, sales, marketing, supply chain, or a similar business setting is strongly preferred. Minimum 5 years in internal or external customer-facing, data-intensive roles. Proven ability to deliver production-grade data pipelines using Python, SQL, and REST APIs. Hands-on experience with Azure, including administration tasks such as subscription management and Key Vault; familiarity with GCP is a plus. Experience with Microsoft Fabric, including Lakehouse architecture, Notebooks (PySpark, Spark SQL, and DAG workflows), and PowerShell scripting. Experience building and maintaining Power BI semantic models (star schema) and designing reports for business stakeholders. Proficiency with GitHub (version control), GitHub Actions (CI/CD), and Terraform (infrastructure and access management). Willingness to ramp quickly on Cognite Data Fusion (CDF), including the Python SDK, Flows/Dune, and GraphQL. A DevOps mindset with experience across CI/CD pipelines and deployment environments. Ability to independently investigate and solve complex data problems with minimal direction. Comfort working cross-functionally across technical and business stakeholders, including humility and willingness to ask for help and share knowledge. Tools and technologies Azure, Microsoft Fabric, Power BI, Cognite Data Fusion® SQL, Python, Java, REST APIs ETL/ELT, PowerShell Lakehouse architecture, PySpark, Spark SQL, DAG workflows GitHub, GitHub Actions, Terraform, Key Vault GCP, Python SDK, Flows/Dune, GraphQL GDPR, CCPABenefitsCompetitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program

Location: Phoenix, AZ (onsite).

Experience: 5+ years.

Education: Bachelor’s or Master’s degree in computer science or a related field.