Engineering Manager

Chime

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
119 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $228k
$175k most similar roles pay here $280k

This listing doesn't post a salary. Most similar roles pay $185,375–$270,000.

Based on 240 similar postings.

Employer

About Chime

Chime is a financial technology company offering mobile-first banking services including fee-free checking accounts, savings accounts, and a secured credit builder card through partner banks. Industry: Financial Technology & Neobanking

Chime currently has 35 open roles on FindRole.

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At a glance

TL;DR · Engineering Manager

As a Senior Engineering Manager on the Data team, you will lead high-performing engineering teams to build a scalable, self-serve data foundation while democratizing data through stronger governance. You will manage and mentor engineers to deliver high-quality, secure data products by partnering with Analytics, Product, Data Science, and Marketing stakeholders. Your daily work involves driving AI-driven initiatives, ensuring operational excellence, and resolving delivery obstacles to maintain engineering quality and velocity. The role requires expertise in building scalable, AI-ready data tools, semantic models, and managing growth and marketing data including attribution and funnels. You will work with a technical stack featuring Spark, Snowflake, Data Warehouse, Data Lake, Key-Value stores, and dbt. This position addresses the challenge of creating trusted data products within the fintech space to improve decision-making and accelerate business growth through advanced data infrastructure.

What does a Engineering Manager earn in California?

Median $290250 from 64 postings across 19 companies.

See salary data

What you'll do

  • Lead and manage a high-performing data engineering team to build a scalable, self-serve data foundation.
  • Drive AI-driven, data-centric initiatives to accelerate business growth and improve decision-making.
  • Partner with Analytics, Product, and Data Science teams to deliver secure and trusted data products.
  • Mentor engineers and foster a culture of technical excellence and continuous learning.
  • Establish operational excellence by setting high expectations for team performance and project delivery.
  • Resolve delivery obstacles and prioritize work to ensure high engineering quality and velocity.
  • Oversee the development of semantic models, data governance, and infrastructure using tools like Spark and Snowflake.

What we're looking for

  • 7+ years of experience leading Data Engineering teams.
  • Proven experience building scalable, AI-ready data tools, semantic models, and trusted data products.
  • Experience driving engineering excellence including data quality, governance, CI/CD, and operational reliability.
  • Experience with Growth and Marketing Data tech, including attribution, funnels, and experimentation.
  • Experience supporting teams using Spark, Snowflake, Data Warehouse, Data Lake, Key-Value store, and dbt.
  • Ability to partner with Product, Analytics, Data Science, and Marketing teams to deliver business outcomes.
  • Experience leveraging AI tools to improve engineering productivity.
  • Familiarity with the AWS ecosystem.

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