Lead Software Engineer, Tableau

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
14 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,900–$211,200.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Tableau

As a Lead Software Engineer - Tableau within the Corporate Sector's AIML and Data platform team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting creative software solutions while building visualizations that transform complex information into accessible insights for business decision-making. Your daily work involves exploring large datasets in Snowflake, importing and transforming data from disparate sources, and collaborating with data engineers to support data models. You will implement modern visualization methodologies and drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed. Required skills include expertise in Tableau dashboards, SQL queries, cloud native experience, and a deep understanding of financial services IT systems. You will also manage requirements gathering and client interactions to solve complex data storytelling problems.

What you'll do

  • Design, develop, and troubleshoot creative software solutions for complex technical problems.
  • Build interactive Tableau dashboards and visualizations to make complex information accessible for business decisions.
  • Analyze large datasets in Snowflake to identify unique storytelling opportunities and insights.
  • Import, transform, and analyze data from disparate sources to support data models.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish validation standards for AI outputs including secure coding, peer review, and automated testing.
  • Utilize the Software Development Life Cycle toolchain to implement automation and enhance operational outcomes.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Expertise in the design, development, implementation, and maintenance of Tableau dashboards and reports.
  • Proficiency in best practices regarding data visualization and storytelling.
  • Experience with requirements gathering and client interactions.
  • Demonstrated experience leading the use of approved AI-assisted software development tools while ensuring security and performance standards.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling.
  • Practical cloud native experience and ability to work with disparate data sources.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Data Warehousing and Data Lake experience (preferred).
  • Experience in aggregating and transforming data for optimized reporting (preferred).
  • Proficiency in SQL queries, including developing and optimizing procedures and views (preferred).
  • Familiarity and experience working with Tableau Agent and Tableau Pulse (preferred).

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