Senior Data Engineer: Scale Data Pipelines & Drive Impact (Equity)

Plaid; New York (NY); On-site; USD 191,000 - 239,000; Full time

Job summary

Plaid is seeking a Data Engineer to scale our data systems and deliver trusted datasets and insights. You’ll own core SQL and Python pipelines that feed our data lake and warehouse, partnering across engineering, product, and business teams to enable faster, data-driven decisions.

You’ll work with tools like DBT, Airflow, Redshift, Snowflake, and Databricks, focusing on data quality, performance, and governance while expanding ownership of internal datasets and SLAs.

Qualifications

• 4+ years of dedicated data engineering experience.
• Experience building data models and pipelines on large datasets (500TB+).
• Proficient in SQL and modern orchestration tools (DBT, Mode, Airflow).
• Experience with data warehouses and lakes (Redshift, Snowflake, Databricks).
• Experience with batch and real-time pipelines (Spark, Kafka).

Responsibilities

• Own core SQL and Python data pipelines powering Plaid's data lake and warehouse.
• Lead data engineering projects and drive cross-team collaboration.
• Design datasets with quality, uptime, and usefulness in mind.
• Maintain well-documented data with defined quality and uptime metrics.
• Collaborate across Engineering, Product, Marketing, and Finance to support data needs.

Skills

Data engineering

SQL

DBT

Airflow

Redshift

Snowflake

Databricks

Spark

Kafka

Data modeling

Data pipelines

Data privacy

Tools

Mode

Job description

Plaid is seeking a Data Engineer to scale our data systems and deliver trusted datasets and insights. You’ll own core SQL and Python pipelines that feed our data lake and warehouse, partnering across engineering, product, and business teams to enable faster, data-driven decisions.

You’ll work with tools like DBT, Airflow, Redshift, Snowflake, and Databricks, focusing on data quality, performance, and governance while expanding ownership of internal datasets and SLAs.