Software Engineer IV - Data Analytics

Lead is a fintech building banking infrastructure for embedded financial products and services. We operate an FDIC-insured bank headquartered in Kansas City, Missouri.  Additionally, we have offices in San Francisco, Sunnyvale, and New York City, where our technical, product, design, and legal teams operate. We are built for a constantly evolving financial landscape, where new ventures and technological advancements emerge daily. Guided by a team of entrepreneurs and technologists with decades of experience navigating intricate banking and payments regulations, Lead blends regulatory and technological expertise to help our fintech partners scale their operations with compliance and creativity.
Simply put, Lead offers the essential attributes that every fintech seeks in a partner bank. First, unparalleled technical expertise from a distinguished team of developers with an extensive understanding of the banking and payments systems. Second, oversight expertise, automated compliance systems, and bespoke program management to navigate the ever-shifting regulatory landscape. Finally, a commitment to transparency and operational rigor to ensure everyone’s money does what it’s supposed to do. 
Role Description:We are seeking an experienced Senior Data Reporting Software Engineer to join our dynamic data team. In this role, you will design, develop, and maintain advanced Business Intelligence (BI) tools and custom reporting solutions that empower stakeholders to make data-driven decisions. With a focus on front-end development for intuitive user interfaces and deep expertise in data modeling and SQL, you will play a critical role in building and optimizing our data reporting ecosystem. This position requires a blend of technical proficiency, analytical thinking, and a passion for delivering impactful internal tools and BI solutions.

Key Responsibilities:

• Design, develop, and maintain scalable Business Intelligence (BI) tools and data reporting platforms to support business analytics and decision-making.
• Build and enhance custom front-end reporting UIs and internal tools, ensuring a seamless and user-friendly experience for technical and non-technical users.
• Collaborate with product managers, other engineers, analysts, and stakeholders to gather requirements and translate them into robust reporting solutions.
• Implement and maintain semantic data models to support efficient and accurate analytics.
• Work with data infrastructure engineers to optimize reporting data store design.
• Troubleshoot and resolve issues related to BI tools, data integrity, and front-end functionality.
• Stay current with industry trends and emerging technologies to recommend improvements to existing systems and processes.
• Mentor junior team members and contribute to best practices in data engineering and front-end development.

Required Skills and Qualifications:

• 7-10 years of professional experience in software engineering, with a focus on data reporting, BI tools, and front-end development.
• Strong front-end development skills (JavaScript, React, Angular, or similar frameworks) for building custom reporting UIs and internal tools.
• Extensive experience implementing and maintaining Business Intelligence tools (e.g., Tableau, Looker, or similar custom solutions).
• Advanced proficiency in SQL, including writing complex queries, optimizing performance, and working with large datasets.
• Deep understanding of dimensional modeling techniques (e.g., star schemas, Kimball methodology) and data warehousing concepts.
• Experience collaborating with cross-functional teams to deliver data-driven solutions.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with public cloud platforms (AWS preferred) and data warehouses  (Snowflake preferred) 
• Familiarity with backend development or scripting languages (e.g., Python, Node.js) 
• Prior experience mentoring or leading small teams in a technical capacity.
• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

*Lead Bank is proud to have an inclusive culture committed to ensuring equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
*Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
*Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
*Our compensation reflects the cost of labor across several US geographic markets. Pay is based on a number of factors and may vary depending on geographical market location, job-related knowledge, skills, and experience. These ranges may be modified in the future.
Zone 1: $210,000 - $240,000 (SF/Bay Area, NYC)

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