Senior Data Engineer - Data Engineering

Plaid

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$190,800–$262,800 / yr
Posted
78 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $227k
$114k most similar roles pay here $279k

This role pays more than 89% of similar roles. Most pay $135,000–$210,112 — the shaded band above. At the midpoint, this role pays about $227k versus about $173k 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 75 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 75 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Senior Data Engineer - Data Engineering

As a Senior Data Engineer at Plaid in Seattle, you will join a dynamic team responsible for building and maintaining data workflows that integrate with Golang applications using SQL and Python. Your daily tasks include designing and implementing data pipelines with tools like DBT, Airflow, Redshift, Atlan, and Retool to ensure high-quality datasets are available across the company. You will collaborate closely with various teams such as engineering, product management, business intelligence, and data analysts to establish Plaid’s data strategy and foster a data-first culture. With experience in handling large-scale datasets and expertise in modern SQL data orchestration tools, you will lead key projects that enhance data quality and performance while ensuring robust documentation and SLAs for internal datasets and visualizations.

What you'll do

  • Design and implement data workflows using SQL and Python to integrate with Golang applications.
  • Build and maintain core SQL and Python data pipelines for the company's data lake and warehouse.
  • Advocate for adopting industry-standard tools and practices in data engineering projects.
  • Ensure high-quality, well-documented datasets with defined performance metrics and SLAs.
  • Collaborate on key data engineering initiatives to drive cross-functional collaboration across Plaid.

What we're looking for

  • 4+ years of dedicated data engineering experience solving complex issues at scale.
  • Experience building data models and pipelines on large datasets (500TB to petabytes).
  • Proficiency in SQL, modern data orchestration tools like DBT, Mode, Airflow.
  • Expertise with performant warehouses and data lakes such as Redshift, Snowflake.
  • Ability to build and maintain batch and real-time pipelines using Spark, Kafka.
  • Strong schema design skills for evolving analytics schemas on unstructured data.

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