below marketmost similar roles pay hereabove market
This role pays more than
84%
of similar roles. Most pay
$149,000–$223,750
— the blue band above.
At the midpoint, this role pays about
$238k
versus about
$186k
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
255 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 236 roles with salary data.
The Staff Data Engineer - Dev360 joins the Dev360 team to build a comprehensive data platform providing visibility into application performance and the software development lifecycle. This role involves architecting and designing fault-tolerant, scalable big-data platforms to support high-velocity data use cases. Key responsibilities include developing architectures for data normalization, lineage, governance, and ontology while collaborating with product teams to curate datasets for Generative AI and Machine Learning. The position requires engineering data pipelines and workflow orchestration tools to derive actionable customer intelligence. Candidates must possess advanced proficiency in SQL, Redshift, Spark, Hive, BigQuery, and BI tools like Tableau, Qlik, or Dash. Technical skills in Python, Java, or Scala are required to solve complex problems regarding data discoverability and operational efficiency across diverse business units.
What does a Data Engineer earn in California?
Median $187700 from 41 postings across 21 companies.
Architect, design, and build fault-tolerant, scalable big-data platforms for high-volume data use cases.
Develop scalable architectures for data normalization, lineage, governance, ontology, and discoverability.
Curate and administer datasets essential for sophisticated analytics, including Generative AI and Machine Learning.
Execute code reviews and establish processes for unit testing, CI/CD, performance testing, and incident response.
Translate business strategy into testable hypotheses and learning agendas to derive actionable customer intelligence.
Construct impactful reports and communicate data insights to influence leadership decisions.
Mentor junior team members in technical proficiency and collaborative problem resolution.
What we're looking for
8+ years of experience working with product analytics, web analytics, or similar data analytics domains.
Advanced proficiency in SQL, big data technologies like Redshift, Spark, Hive, or BigQuery, and BI tools like Tableau, Qlik, or Dash.
Strong programming skills in Python or Java/Scala.
Experience engineering data pipelines, workflow orchestration tools, and architecting end-to-end big data and analytical platforms.
Understanding of AI-native architectures and GenAI platforms to assess implications for data, testing, and behavior.
Strong business acumen to translate business strategy into testable hypotheses and learning agendas.
Strong data storytelling skills to construct impactful reports and communicate insights to influence leadership.
Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master’s degree preferred).
Databricks
Delta Lake
Unity Catalog
Python
Java
SQL
NoSQL
AWS
IAM
Data Engineering
Data Modeling
Data Governance
Data Observability
Fivetran
HVR
Vault
Machine Learning
Data Pipelines