Senior Software Engineer - Data Infrastructure

Plaid

Quick summary

Work type
On-site
Location
San Francisco, CASeattle, WA
Salary
$190,800–$262,800 / yr
Posted
100 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $227k
$125k most similar roles pay here $278k

This role pays more than 88% of similar roles. Most pay $163,036–$214,800 — the shaded band above. At the midpoint, this role pays about $227k versus about $189k 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 89 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 89 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Senior Software Engineer - Data Infrastructure

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Plaid is seeking a Senior Data Infrastructure Engineer to join its engineering team in a critical role focused on scaling and optimizing data pipelines. This individual will contribute to the long-term technical roadmap, lead key projects like improving ML development paths and implementing streaming solutions, and collaborate with cross-functional teams to define technical roadmaps for backend systems. Responsibilities include debugging complex issues, reducing operational burdens, and mentoring junior engineers. The ideal candidate has over five years of experience in data infrastructure or platform domains, proficiency in coding, testing, and system design, and expertise in technologies such as Data Warehouses, Apache Spark, and Workflow Orchestration. Experience with Databricks and Airflow is a plus.

Skills

Data Warehouse Data Lakehouse Apache Spark Workflow Orchestration Streaming Technologies Databricks Airflow AWS EMR CI/CD Python SQL Java Scala Kafka Hadoop Git Jenkins Prometheus Grafana

What you'll do

  • Lead key data infrastructure projects to improve ML development and data freshness.
  • Scale existing data pipelines for performance and cost efficiency while creating simple abstractions.
  • Work with stakeholders to define technical roadmaps for backend systems across Plaid.
  • Debug and troubleshoot issues to reduce operational burden on the Data Platform.
  • Mentor and guide junior engineers, reviewing their technical documents and code changes.

What we're looking for

  • 5+ years of software engineering experience in Data Infrastructure or Platform domain.
  • Extensive hands-on experience delivering successful projects in data infrastructure technologies.
  • Deep understanding of Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, and Workflow Orchestration.
  • Strong cross-functional collaboration, communication, and project management skills.
  • Proficiency in coding, testing, and system design for reliable and scalable solutions.
  • Demonstrated leadership abilities with experience mentoring junior engineers.

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