Data Engineer - Data Engineering

Plaid1 weeks ago

Location

San Francisco

Type

Full Time

Salary

USD 130,000 – 180,000

Level

Mid

Role

Data Engineer

Posted

Mar 10, 2026

Full TimeMid

The role

Summary

Plaid is seeking a Data Engineer to build robust golden datasets that power business insights and decision-making. The role involves creating and maintaining high-performance data pipelines, collaborating across multiple teams, and driving Plaid's data strategy with a focus on scalability, quality, and impactful data solutions.

What you'll do

Data Strategy Development: Understand Plaid's product and strategy to inform golden dataset design and data usage principles

Data Pipeline Management: Own and develop core SQL and Python data pipelines that power the data lake and data warehouse

Data Quality Assurance: Ensure high data quality, performance, and well-documented datasets with defined quality, uptime, and usefulness metrics

Technology Advocacy: Proactively advocate for and adopt industry-leading tools and best practices at appropriate times

Cross-Functional Collaboration: Collaborate with engineering, product, marketing, finance, and other teams to build and refine Plaid's data strategy

What we look for

Technical

Data Pipeline SkillsExperience building data models and pipelines on large datasets (500TB to petabytes)

SQL ExpertiseAdvanced proficiency in SQL and modern data orchestration tools like DBT, Mode, and Airflow

Education

Degree PreferenceBachelor's degree in Computer Science, Data Science, Engineering, or related technical field preferred

Experience

Professional Experience2+ years of dedicated data engineering experience solving complex data pipeline challenges at scale

Skills

Required skills

SQLAdvanced SQL skills for data pipeline development and management

PythonProficiency in Python for data engineering tasks

Data Pipeline ToolsExperience with DBT, Airflow, and data orchestration platforms

Nice to have

Data WarehousesExperience with Redshift, Snowflake, Databricks

Big Data TechnologiesFamiliarity with Spark, Kafka for batch and real-time data processing

Compensation & benefits

Salary

USD 130,000 – 180,000 (annual)

Stock options

Available

Benefits

Diversity and Inclusion

Commitment to building a diverse and equitable workplace

Professional Growth

Opportunity to learn from strong data engineering team and broader Data Platform team

Impact-Driven Culture

IC-driven engineering culture that empowers talented team members

Interview process

1
Initial Screening — Phone or video call with recruiting team to discuss background and role fit
2
Technical Assessment — SQL and data engineering skills evaluation, potentially including a take-home project
3
Technical Interviews — Multiple rounds of interviews with data engineering team members, focusing on technical expertise and problem-solving
4
Culture and Team Fit — Interview to assess alignment with Plaid's mission and collaborative work culture
5
Final Interview — Meeting with hiring manager to discuss role expectations and potential impact