Data Engineer - Technical Strategic Programs

The Tech Strategic Programs organization delivers for Intuit and Tech Strategy by transforming and driving how our Technology ecosystem operates to accelerate outcomes for our customers. This small, yet mighty team works with senior leaders and partners across the company. We focus on strategic planning, the operating rhythm, executive narratives, workforce programs and delivering intelligent insights that accelerate execution across the tech portfolio and highest priority business growth areas.

We are looking for a strategic and organized leader with a passion for innovation and data-driven optimization. As a Data Engineer, you will work alongside senior leaders to deliver the foundational data architecture that allows Intuit to measure execution velocity and accelerate critical business outcomes.

• Build and Maintain Data Marts:
  Design, develop, and manage the tables and data marts that serve as the foundation for the team’s daily reporting. You will partner with data scientists, technical program managers, AI engineers, and other stakeholders to ensure our data is structured for speed and reusability.
• Own Data Quality & Reliability:
  Proactively monitor data pipelines, troubleshoot discrepancies, and debug issues quickly to ensure data integrity.
• Track Key Success Metrics:
  Implement and track leading indicators and success metrics, helping the organization understand whether initiatives are delivering the desired outcomes.
• Develop Execution Dashboards:
  Design and build intuitive, self‑service dashboards (using Tableau/Qlik) that allow stakeholders to monitor program health and execution velocity.
• Communicate Insights:
  Translate complex datasets into clear, concise summaries for business partners and leadership, highlighting trends, risks, and opportunities.
• Collaborate Cross‑Functionally:
  Partner with other analysts and data engineers across Intuit to share best practices, align on metric definitions, and drive cross‑team analytics projects.

• Speed as a habit:
  Drive velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
• Emerging technology mastery:
  Continuously explore emerging trends, tools, and techniques in Generative AI. Follow trends and research topics of leveraging AI/GenAI to improve workforce efficiency.
• Understands customer behaviors:
  Partner with cross‑functional partners to influence and drive end‑to‑end solutions for customer problems. Execute with a boundaryless mindset and contribute to solutions outside your primary area of ownership.
• Durable data solutions:
  Design and implement durable data solutions that will solve critical customer problems in a fast‑paced environment. Create robust, scalable, and secure technical designs, effectively implementing them to balance short‑term and long‑term objectives, ensuring high availability and optimal performance of applications.
• Passionate for continuous learning:
  Experiment and apply cutting‑edge technology and software paradigms to solve customer problems. Be prepared to get hands‑on and debug complex issues or create fully working POCs which teams can take forward.
• Communicate effectively:
  Explain complex designs to both technical and non‑technical stakeholders and drive consensus.

• 7+ years of experience in Data Analytics, Business Intelligence, Engineering or related technical field
• Bachelor's in Statistics, Mathematics, Computer Science, or related field
• Proficient with unstructured data and turning raw data into a usable, high‑quality dataset ready for effective use
• Strong proficiency in visualization tools with hands‑on experience building complex dashboards in Tableau, Qlik, or PowerBI
• Proven track record of developing and managing complex analytics data mart and data pipelines is a must‑have
• Demonstrated experience with big data tools and frameworks such as Apache Spark, Hadoop or Databricks
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in applying advanced analytics techniques such as python, ML models, LLM, etc., is a plus
• Ability to create analytical framework…