Staff Data Engineer

Intuit

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Mountain View, CA
Salary: $202,500–$274,000 / yr
Posted: 56 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $238k

$133k most similar roles pay here $289k

This role pays more than 83% of similar roles. Most pay $147,775–$218,918 — the shaded band above. At the midpoint, this role pays about $238k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Staff Data Engineer

Role Posting Log in to save

As a Staff Data Engineer - Quickbooks Capital and Lending, you will join an innovative team of engineers to build enterprise scale data engineering pipelines and features for QuickBooks Capital customers. You will spend the majority of your time hands-on designing, coding, testing, and supporting production systems while managing timelines for work of medium to large complexity. Your daily responsibilities include data modeling, data warehousing, building ETL pipelines, and resolving defects across various stages of the software development life cycle. To succeed in this role, you must possess extensive experience with Python, PySpark, Spark, SQL, Databricks, AWS, Elastic Search, and Kafka. You will also apply big data fundamentals to solve complex problems within the capital and lending product area while collaborating cross-functionally with product management and other engineering teams using Agile or SCRUM methodologies.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

Skills

Python PySpark Spark SQL Databricks AWS Elastic Search Kafka Big Data ETL Data Modeling Data Warehousing Agile SCRUM Extreme Programming SDLC

What you'll do

Develop technical designs and specifications based on functional requirements.
Design and develop software using data engineering technologies like Python, PySpark, and Spark.
Build enterprise-scale data engineering pipelines and features for customers.
Perform data modeling and data warehousing tasks.
Build ETL pipelines to process large datasets.
Spend 90% of time coding, testing, and supporting production systems.
Resolve defects and bugs across testing, pre-production, and production environments.
Participate in quarterly on-call rotations to monitor systems and resolve incidents.

What we're looking for

BS/MS in computer science or equivalent work experience.
7+ years of experience developing data engineering pipelines using Python, PySpark, Spark, SQL, Databricks, AWS, Elastic Search, and Kafka.
7+ years of experience working with Big Data technologies.
Extensive experience with Python and Spark.
Proven ability to understand a large existing codebase.
Experience with the entire Software Development Life Cycle (SDLC).
Demonstrated experience building and supporting large scale enterprise data engineering pipelines and featurization.

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