--- title: 'Sr. Data Engineer - FP&A at Cognite - AI for Industry' canonical: 'https://feeny.ai/job/sr-data-engineer-fp-a-cognite-ai-for-industry-phoenix-825gv0jv5ztt' type: 'job' last_seen: '2026-09-10' --- # Sr. Data Engineer - FP&A at Cognite - AI for Industry - **Company:** Cognite - AI for Industry - **Location:** Phoenix, AZ - **Posted:** 2026-06-11 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.eu.greenhouse.io/cognite/jobs/4895978101 ## Job description What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our [Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. We're looking for a Senior Data Engineer with business acumen who is ready to tackle big challenges and advance their career. In this role, you'll join a team committed to creating cutting-edge business solutions that significantly impact critical business functions across Cognite. You will report to the Vice President of FP&A (Financial Planning & Analysis) and be tasked with building out the Cognite Enterprise Data Warehouse (EDW) for business data. This will include building the Semantic (logic/contextualization) layer for business data and leading the selection and implementation of a world class EDW AI solution. You'll collaborate with Finance, Sales, Marketing, P&O/HR, Legal, Engineering, etc. to deploy and optimize digital solutions that empower users to make better data-driven business decisions. If you're passionate about leveraging technology to solve tough problems and are eager to impact the way Cognite operates, we want to hear from you. Let's build the future of Cognite business data, reporting and AI capabilities together. Strategy & architecture - 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. Build & integration - 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. Operations & enablement - 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. Job Requirements Education & background - 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. ## Experience - 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. - Experience with Microsoft Fabric, including Lakehouse architecture, Notebooks (PySpark, Spark SQL, DAG workflows), and PowerShell scripting. - Experience building and maintaining Power BI semantic models (star schema) and designing reports for business stakeholders. - 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 Mindset & ways of working - 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. A snapshot of our many perks and benefits as a Cogniter - 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 Learn more about us - [Impact 2025](https://www.cognite.com/en/resources/blog/key-highlights-from-impact-2025) - [Cognite's Industrial AI: Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) - We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. ## Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment. ## About Cognite - AI for Industry ## Company Overview - **One-liner**: Cognite delivers industrial AI software that unifies siloed operational data to help energy, process manufacturing, and other industrial companies improve production efficiency and scale AI solutions. - **Entity Type**: Private (backed by Aker ASA, total funding of $338.9M) - **Headquarters**: Tempe, Arizona, United States (global HQ; also Lysaker, Norway) - **Founded**: 2016 - **Founders**: Not publicly available (co-founded by a team with industrial and tech backgrounds) ## Core Business - **Primary industries**: Industrial AI, Industrial DataOps, Energy (oil & gas, renewables), Process Manufacturing, Power & Utilities - **Target customers**: B2B – enterprise industrial companies (energy, manufacturing, chemicals, etc.) - **Mission or purpose**: “Power a high-tech, sustainable, and profitable industrial future” — enabling industrial teams to move faster, work safer, and achieve more with AI. ## Products & Services - **Cognite Data Fusion®**: Open Industrial DataOps platform that contextualizes operational, engineering, and IT data into a real-time Industrial Knowledge Graph, making data accessible for AI and analytics. (SaaS/platform) - **Cognite Atlas AI™**: Low-code industrial AI agent workbench for building and deploying agentic AI to automate complex operational tasks. (AI agent platform) - **Cognite Flows™**: Tool for building and scaling production-ready industrial workflows 100x faster. (Workflow automation) - **Composable reference applications**: Pre-built solutions for production optimization, smart maintenance, workforce digitalization, and sustainability. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding $338.9M (5 rounds); Annual revenue SEK 790.7M (approx. $75M based on current exchange rates, but exact USD not given) - **Notable Investors/Partners**: Parent company Aker ASA; partners include Microsoft, Aker BP, Sopra Steria, Omny, Aize, and others. Recognized as a Leader in IDC MarketScape for Industrial DataOps Platforms. - **Growth Signals**: 663 employees (+20.9% YoY); 102 active job postings (+67.2% YoY); LinkedIn followers 103,713 (+65.8% yearly); committed to delivering $100B in customer value by 2035; customers report 30-80% reduction in maintenance time and 4-month deployment cycles. ## Competitive Advantages - **Industrial domain expertise**: Deep specialization in heavy industry (energy, process manufacturing) with a platform built for complex OT/IT data integration. - **Open ecosystem**: Works with any cloud, any data source, any LLM, enabling flexible partnerships and off-the-shelf integrations. - **Low-code AI agents**: Cognite Atlas AI allows domain experts to build AI agents without deep coding, speeding adoption. - **Proven ROI**: Customers report 10x productivity improvements, rapid scaling (e.g., from pilot to 9 facilities in months), and significant downtime reduction. ## Strategic Focus - **Scaling industrial AI**: Accelerate time-to-value with pre-built solutions, AI agents, and use-case best practices. - **Global expansion**: Growing presence in Americas (Tempe, Austin, Houston), Europe (Oslo), Asia (Tokyo, Bengaluru). - **Customer value commitment**: Ambitious goal of $100B in customer value by 2035. - **Partner ecosystem**: Deepening integrations with cloud providers, system integrators, and industrial software vendors. ## Why Work Here - **Culture**: Values of Relentless (innovation, learning from setbacks), Ownership (shared responsibility, inclusivity), and Impact (result-oriented, adding value to team and customers). Described as “smart, passionate builders, and problem solvers.” - **Remote/Hybrid/Office**: Hybrid model with offices in Tempe, Austin, Houston, Oslo, Tokyo, Bengaluru. Some roles listed as “USA (remote)” indicating flexibility for certain positions. - **Diversity**: Employees from 60+ countries; global team of engineers, product managers, domain experts. - **Perks & Growth**: Opportunity to work on “biggest impact on our planet” — industrial AI at scale; strong investment in R&D and career development; fast-growing company with 100+ open roles. - **Engineering culture**: Emphasis on AI, data engineering, machine learning, and full-stack development; roles like Senior AI Engineer, ML Engineer, Data Engineer, Applied AI Engineer. ## Sources 1. [cognite.com](https://www.cognite.com/en) 2. [cognite.com](https://www.cognite.com/en/company/about-us-cognite) 3. [cognite.com](https://www.cognite.com/en/company/careers) 4. [linkedin.com](https://www.linkedin.com/company/cognitedata) 5. [cbinsights.com](https://www.cbinsights.com/company/cognite) ## Other roles at Cognite - AI for Industry - [Senior Software Engineer - AI/ML (Context Services)](https://feeny.ai/job/senior-software-engineer-ai-ml-context-services-cognite-ai-for-industry-pv4nha2mnqbq) — Bengaluru, India - [Academy Engineer - (Data Scientist)](https://feeny.ai/job/academy-engineer-data-scientist-cognite-ai-for-industry-bengaluru-0wfdp729e4mw) — Bengaluru, India - [Academy - Project Management Lead](https://feeny.ai/job/academy-project-management-lead-cognite-ai-for-industry-bengaluru-180xhz2y2cjx) — Bengaluru, India - [Senior Project Manager](https://feeny.ai/job/senior-project-manager-cognite-ai-for-industry-abu-dhabi-c8pxppnqjhgr) — Abu Dhabi, United Arab Emirates - [データエンジニア/ Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-cognite-ai-for-industry-tokyo-zyynwfrw0ayh) — Tokyo, Japan - [Principal Software Engineer (workflow / platform)](https://feeny.ai/job/principal-software-engineer-workflow-platform-cognite-ai-for-industry-bengaluru-1yzdazdf1g9c) — Bengaluru, India - [Tech Lead - Supply Chain, Center of Excellence](https://feeny.ai/job/tech-lead-supply-chain-center-of-excellence-cognite-ai-for-industry-europe-fh48w40dwmbd) — Europe - [Data Engineer](https://feeny.ai/job/data-engineer-cognite-ai-for-industry-bengaluru-dqzka9ww2rth) — Bengaluru, India - [Principal Software Engineer](https://feeny.ai/job/principal-software-engineer-cognite-ai-for-industry-phoenix-p4fa9a2vnnzx) — Phoenix, AZ - [Senior Field Engineer (Pre-Sales/Forward Deployed)](https://feeny.ai/job/senior-field-engineer-pre-sales-forward-deployed-cognite-ai-for-industry-houston-stbepdetheyh) — Houston, TX / United States