Staff 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.

Responsibilities

In this role, you will:

Build and Maintain Data Marts: Design, develop, and manage the tables and data marts that serve as the foundation for our 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

What you’ll bring:

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 of 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: experimenting, and applying 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.

Qualifications

• 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 records 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 for solving complex business problems with proven track record.
• Ability to manage multiple projects simultaneously to meet objectives.
• Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $ 202,500- 274,000 Southern California $ 188,500-255,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ San Diego $188500 - $255000
Mountain View, CA $202500- $274000

Salary : $188,500 - $255,000