Data Engineer - Data Engineering
Company: Plaid
Location: San Francisco
Posted on: February 15, 2026
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Job Description:
Job Description Job Description The main goal of the DE team in
2024-25 is to build robust golden data sets to power our business
goals of creating more insights based products. Making data-driven
decisions is key to Plaid's culture. To support that, we need to
scale our data systems while maintaining correct and complete data.
We provide tooling and guidance to teams across engineering,
product, and business and help them explore our data quickly and
safely to get the data insights they need, which ultimately helps
Plaid serve our customers more effectively. Data Engineers heavily
leverage SQL and Python to build data workflows. We use tools like
DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to
orchestrate data pipelines and define workflows. We work with
engineers, product managers, business intelligence, data analysts,
and many other teams to build Plaid's data strategy and a
data-first mindset. Our engineering culture is IC-driven we favor
bottom-up ideation and empowerment of our incredibly talented team.
We are looking for engineers who are motivated by creating impact
for our consumers and customers, growing together as a team,
shipping the MVP, and leaving things better than we found them. You
will be in a high impact role that will directly enable business
leaders to make faster and more informed business judgements based
on the datasets you build. You will have the opportunity to carve
out the ownership and scope of internal datasets and visualizations
across Plaid which is a currently unowned area that we intend to
take over and build SLAs on. You will have the opportunity to learn
best practices and up-level your technical skills from our strong
DE team and from the broader Data Platform team. You will
collaborate with and have strong and cross functional partnerships
with literally all teams at Plaid from Engineering to Product to
Marketing/Finance etc. Responsibilities Understanding different
aspects of the Plaid product and strategy to inform golden dataset
choices, design and data usage principles. Have data quality and
performance top of mind while designing datasets Advocating for
adopting industry tools and practices at the right time Owning core
SQL and Python data pipelines that power our data lake and data
warehouse Well-documented data with defined dataset quality,
uptime, and usefulness. Qualifications 2 years of dedicated data
engineering experience, solving complex data pipeline issues at
scale. You have experience building data models and data pipelines
on top of large datasets (in the order of 500TB to petabytes) You
value SQL as a flexible and extensible tool and are comfortable
with modern SQL data orchestration tools like DBT, Mode, and
Airflow. [Nice to have] You have experience working with different
performant warehouses and data lakes; Redshift, Snowflake,
Databricks [Nice to have] You have experience building and
maintaining batch and real-time pipelines using technologies like
Spark, Kafka. The target base salary for this position ranges from
$163,200/year to $223,200/year in Zone 1. The target base salary
will vary based on the job's location. Our geographic zones are as
follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 -
Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston,
Denver, Houston, Portland, Sacramento, San Diego Zone 4 -
Raleigh-Durham and all other US cities Additional compensation in
the form(s) of equity and/or commission are dependent on the
position offered. Plaid provides a comprehensive benefit plan,
including medical, dental, vision, and 401(k). Pay is based on
factors such as (but not limited to) scope and responsibilities of
the position, candidate's work experience and skillset, and
location. Pay and benefits are subject to change at any time,
consistent with the terms of any applicable compensation or benefit
plans.
Keywords: Plaid, San Mateo , Data Engineer - Data Engineering, Engineering , San Francisco, California
