Sr. Data Engineer - FP&A

USA (Phoenix)full timeOn Site

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senior

H1B: no

Cognite The Sr. Data Engineer - FP&A at Cognite leads the design and implementation of a scalable Enterprise Data Warehouse and data engineering solutions to support business data needs. This role collaborates cross-functionally to deploy digital solutions that improve data-driven decision making.

Responsibilities

Lead the design and implementation of a scalable Enterprise Data Warehouse (EDW) and efficient data engineering solutions using Azure, Fabric, Power BI, and Cognite Data Fusion®.
Technology Selection: Evaluate and select data technologies, frameworks, and platforms to support future business scaling needs.
Drive and manage integrations, extractions, data modeling, and analysis using data connectors and SQL, Python/Java, and REST APIs.
Data Pipeline Development: Develop and maintain data pipelines (ETL/ELT) to move data from source systems into data warehouses or data lakes.
Data Preparation: Clean, transform, and aggregate raw data into structured formats optimized for Power BI reporting and AI agents.
Data Modeling: Create custom data models for data discovery, mapping, and cleansing. Define conceptual, logical, and physical data models to map out how different data entities relate to one another.
Governance & Security: Establish standards for data quality, security, privacy, and compliance (e.g., GDPR, CCPA).
Collaborate with business stakeholders and engineering organizations to enable data-driven business decisions.
Bachelor's or Master's degree in computer science or a related field; relevant experience may 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 of experience in internal or external customer-facing, data-intensive roles.
Proven experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
Hands-on experience with Azure cloud services, including administration tasks such as subscription management and Key Vault; familiarity with GCP is a plus.

Qualification

Competitive compensation401(k) with employer matchingCompetitive healthUnlimited PTOPaid Parental Leave ProgramEmployee Referral Program

Required

Proficiency with GitHub for version control, GitHub Actions for CI/CD, and Terraform for infrastructure and access management.
Willingness to learn and ramp quickly on Cognite Data Fusion (CDF), including Python SDK, Flows/Dune, and GraphQL
DevOps mindset with experience across CI/CD pipelines and deployment environments.
Able to independently investigate and solve complex data problems with minimal direction.
Comfortable working in cross-functional teams spanning both technical and business stakeholders.
Demonstrates humility — willing to ask for help and actively shares knowledge with others.
Competitive 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