Senior Data Engineer

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for more information about Fractal

Note:

This position is not eligible for Immigration Sponsorship at this time.

Bay Area, CA or New York City, NY (will consider Remote)

As a Senior Data Engineer, you will partner with cross-functional teams including Global Product Leads, Product Management, and Go-to-Market (GTM) stakeholders to synthesize advertiser data, conduct analysis, and deliver insights and recommendations for product and business leadership. You will independently own and maintain Global Ads Sales Analytics (GASA) impact measurement model data pipelines, manage quarterly GTM design upgrades, and build automation frameworks using modern AI-driven tools.

• Execute GASA impact measurement model data pipelines in accordance with established production specifications to support business reporting.
• Apply quarterly Go-to-Market (GTM) design changes to impact models and upgrade pipeline systems per agreed-upon technical standards.
• Provide automated execution of impact cuts and report generation to facilitate explainability and business decision-making.
• Build and maintain automation for data pipelines using AI-driven frameworks as dictated by the project scope.
• Develop and maintain SAS impact data marts for consumption by assigned stakeholders.
• Independently execute and maintain data pipelines per outlined service level agreements (SLAs).
• Provide data engineering outputs and pipeline troubleshooting support to internal product and data science stakeholders.

• Bachelor’s degree with quantitative or technical emphasis:
  Computer Science, Engineering, Data Science, Mathematics, Information Systems, or a related field (or equivalent work experience).
• Expert proficiency in SQL, including querying and data warehousing for large datasets.
• Intermediate to advanced Python scripting for automation, data pipelines, and data manipulation.
• Basic familiarity with R for interpreting and troubleshooting statistical scripts.
• Practical experience building and maintaining AI-driven automation frameworks for data pipelines.
• Intermediate data visualization skills; experience with Looker, PLX, or similar dashboarding tools preferred.

• Proactive problem solver who anticipates issues and independently drives solutions.
• Strong ownership mindset, taking full responsibility from requirement gathering through to deployment.
• Excellent cross-functional communication skills, with the ability to provide clear written updates and handle queries from diverse stakeholder teams.
• Comfortable working independently at high velocity in ambiguous environments.
• Background in technology companies with complex advertiser, sales, or mid-market/SMB ecosystems (e.g., AdTech, Fin Tech, Enterprise Tech) strongly preferred.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational…