# Senior Data Engineer

**Company:** [Plaid](https://hotfix.jobs/companies/plaid)
**Location:** New York, NY
**Role:** Data Engineering
**Salary:** $191k – $239k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, dbt, Airflow, Amazon Redshift, Snowflake, Databricks, Spark, Apache Kafka, Data Modeling, Data Pipelines, Schema Design, Data Warehousing, Data Lakes, Real-Time Pipelines
**Posted:** 2026-09-03

> Build and own large-scale data models, batch and real-time pipelines, and data infrastructure that provide reliable datasets and insights across Plaid. The role requires 4+ years of data engineering experience, strong SQL and Python skills, and expertise with modern warehouses, lakes, and orchestration tools.

## Job Description

## Responsibilities
- Understand Plaid’s products and strategy to inform golden dataset selection, design, and data usage principles.
- Design datasets with data quality and performance in mind.
- Lead data engineering projects that drive collaboration across the company.
- Advocate for appropriate industry tools and practices.
- Own core SQL and Python data pipelines powering the data lake and data warehouse.
- Document data and define dataset quality, uptime, and usefulness SLAs.
- Collaborate with Engineering, Product, Marketing, Finance, business intelligence, data analysts, and other stakeholders.

## Requirements
- 4+ years of dedicated data engineering experience solving complex data pipeline issues at scale.
- Experience building data models and pipelines on large datasets, approximately 500 TB to petabytes.
- Strong SQL skills and experience with modern SQL orchestration tools such as DBT, Mode, and Airflow.
- Experience with performant data warehouses and data lakes, including Redshift, Snowflake, or Databricks.
- Experience building and maintaining batch and real-time pipelines with technologies such as Spark and Kafka.
- Understanding of schema design and evolving analytics schemas over unstructured data.
- Ability to manage, deploy, and improve low-level data infrastructure.
- Strong stakeholder collaboration and problem-solving skills.
- Commitment to data privacy and integrity.

## Compensation and Benefits
- Annual salary range: $190,800–$238,800.
- Additional compensation may include equity and/or commission, depending on the position.
- Comprehensive benefits include medical, dental, vision, and 401(k).

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