# Senior Data Engineer

**Company**: Plaid
**Location**: San Francisco, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $190.8K - $238.8K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/plaid/eeb094c3-da73-411e-8dda-b3f4ee397f97?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4eded995-f77

## Description

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own 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 golden datasets and tooling 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.

You will be in a high-impact role that will directly enable business leaders to make faster and more informed business judgments 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.

**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.

- Ensure 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 (in the order of 500TB to petabytes).

- Valuing SQL as a flexible and extensible tool, and being comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.

- Experience working with different performant warehouses and data lakes; Snowflake and Databricks.

- Experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka.

- Appreciating the importance of schema design, and evolving an analytics schema on top of unstructured data.

- Being excited to try out new technologies and producing proof-of-concepts that balance technical advancement and user experience and adoption.

- Liking to get deep into the weeds to manage, deploy, and improve low-level data infrastructure.

- Being empathetic when working with stakeholders, listening to them, asking the right questions, and collaboratively coming up with the best solutions for their needs while balancing infra and business needs.

- Being a champion for data privacy and integrity, and always acting in the best interest of consumers.

**Compensation**

- $190.8K – $238.8K • Offers Equity

- Comprehensive benefit plan, including medical, dental, vision, and 401(k)

## Skills

### Required
- SQL
- Python
- DBT
- Airflow
- Redshift
- Atlan
- Retool
- Snowflake
- Databricks
- Spark
- Kafka

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/plaid/eeb094c3-da73-411e-8dda-b3f4ee397f97?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)