Senior Data Engineer

Plaid powers the tools millions of people rely on to live a healthier financial life, working with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.

As a Senior Data Engineer on the Data Engineering team, you will build data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. 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, an area that is currently unowned and that we intend to take over and build SLAs on.

• 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.
• Leading key data engineering projects that drive collaboration across the company.
• 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.

• 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).
• You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.
• Experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.
• Experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka.
• You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.
• You are excited to try out new technologies and like to produce proof-of-concepts that balance technical advancement and user experience and adoption.
• You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure.
• You are empathetic working with stakeholders.
• You are a champion for data privacy and integrity.

Salary range: $190.8K – $238.8K (Zone 1) plus equity. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).

Apply via the provided link. Plaid is an equal opportunity employer and provides reasonable accommodations for candidates with disabilities.