Senior Data Engineer – Data Engineering

Plaid

Senior Data Engineer building data workflows and enabling data-driven decision making at Plaid. Collaborating with various teams and utilizing SQL and Python for data pipeline creation.

Posted 7/28/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $190,800 - $238,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining complex data pipelines and models, utilizing SQL and Python to optimize data quality and performance. Proficient in modern data orchestration tools and data warehousing technologies, with a strong focus on collaboration and stakeholder engagement.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyData Pipeline DevelopmentData Warehouse TechnologiesSchema Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingSQLPythonSchema DesignBatch ProcessingReal-Time ProcessingData Quality ManagementData Performance OptimizationData Privacy Advocacy

Soft Skills

CollaborationEmpathyStakeholder EngagementProblem SolvingCommunication

Tools & Technologies

DBTModeAirflowRedshiftSnowflakeDatabricksSparkKafka

Industry Keywords

Data LakeData WarehouseData IntegrityData GovernanceData Orchestration

Tech Stack

Tools & technologies

AirflowAmazon RedshiftKafkaPythonSparkSQL

About the role

Key responsibilities & impact

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 datasetsLeading 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.

Requirements

What you’ll need

4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.
You’ve have 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.
You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.
You have 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. You 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 listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.
You are a champion for data privacy and integrity, and always act in the best interest of consumers.

Benefits

Comp & perks

medical
dental
vision
401(k)