below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$182,500–$245,882
— the blue band above.
At the midpoint, this role pays about
$241k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has
73 open roles
on FindRole.
Listed pay typically runs
$190,800–$262,800
across 73 roles with salary data.
The Staff Software Engineer - Data Infrastructure joins the Data Infrastructure team to scale data systems while maintaining correct and complete data. This role involves contributing to the long-term technical roadmap for data-driven and machine learning iteration, leading key projects like improving ML development golden paths, implementing offline streaming solutions, and building net new ETL pipeline infrastructure. The engineer will also evolve data warehouse or data lakehouse capabilities, debug systems, and mentor junior engineers. Required skills include proficiency in Python and deep understanding of Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, and Workflow Orchestration. Candidates should also possess experience with Databricks, Airflow, and AWS EMR. The work focuses on creating abstractions to simplify platform development for other engineers while ensuring performant and cost-efficient data pipelines.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Contribute to the long-term technical roadmap for data-driven and machine learning iteration.
Lead key data infrastructure projects including ML development paths and offline streaming solutions.
Build new ETL pipeline infrastructure and evolve data warehouse or lakehouse capabilities.
Define technical roadmaps for backend systems and abstractions with cross-functional stakeholders.
Debug, troubleshoot, and reduce the operational burden for the Data Platform.
Mentor team members and provide leadership through code reviews and technical document reviews.
What we're looking for
6+ years of software engineering experience.
Extensive hands-on experience delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.
Deep understanding of Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, or Workflow Orchestration.
Proficiency in coding, testing, and system design to ensure reliable and scalable solutions.
Experience with Python.
Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.
Strong cross-functional collaboration, communication, and project management skills.
Experience with Databricks, Airflow, or AWS EMR (preferred).
Data Infrastructure
Data Warehouse
Data Lakehouse
Apache Spark
Workflow Orchestration
Streaming Infrastructure
Python
Databricks
Airflow
AWS EMR
ETL
System Design
Machine Learning
Data Pipelines