# Senior Data Engineer - Data Engineering

**Company:** [Plaid](https://hotfix.jobs/companies/plaid)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Salary:** $191k – $287k/yr
**Experience:** 4+ years
**Skills:** SQL, Python, dbt, Airflow, Redshift, Snowflake, Databricks, Spark, Kafka, Data Pipelines
**Posted:** 2026-03-20

> Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.

## Job Description

## Responsibilities
- Understand 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.
- Lead key data engineering projects that drive collaboration across the company.
- Advocate for adopting industry tools and practices at the right time.
- Own core **SQL** and **Python** data pipelines that power our data lake and data warehouse.
- Deliver well-documented data with defined dataset quality, uptime, and usefulness.

## Qualifications
- 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.
- Experience building data models and data pipelines on top of large datasets (500TB to petabytes).
- Value **SQL** as a flexible tool, comfortable with modern SQL data orchestration tools like **DBT**, Mode, and **Airflow**.
- Experience with performant warehouses and data lakes: **Redshift**, **Snowflake**, **Databricks**.
- Experience building and maintaining batch and realtime pipelines using **Spark**, **Kafka**.
- Appreciation for schema design, evolving analytics schema on top of unstructured data.
- Excited to try new technologies, produce proof-of-concepts balancing technical advancement and adoption.
- Get deep into managing, deploying, and improving low-level data infrastructure.
- Empathetic with stakeholders, listen and collaborate on solutions balancing infra and business needs.
- Champion for data privacy and integrity.

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