Senior Data Engineer - Data Engineering

Plaid
San Francisco, Seattle
Workplace: HybridFull timeUSD 190,800 - 238,800 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Data quality focus","Stakeholder empathy"]

Build and own core SQL and Python data pipelines that power Plaid’s data lake and data warehouse, enabling high-quality golden datasets for teams across Engineering, Product, and Business. Lead data engineering projects with a focus on data quality, performance, uptime, and usefulness, while advocating for industry tools and best practices. Collaborate cross-functionally to deliver well-documented datasets and improve analytics with a data-first mindset.

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Plaid
Plaid
5 months ago

Senior Data Engineer - Data Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and own core SQL and Python data pipelines that power Plaid’s data lake and data warehouse, enabling high-quality golden datasets for teams across Engineering, Product, and Business. Lead data engineering projects with a focus on data quality, performance, uptime, and usefulness, while advocating for industry tools and best practices. Collaborate cross-functionally to deliver well-documented datasets and improve analytics with a data-first mindset.
Location: San Francisco, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Inform golden dataset choices and data usage principles by understanding Plaid’s product and strategy.
  • •Ensure data quality and performance while designing datasets and leading data engineering projects.
  • •Own core SQL and Python pipelines powering the data lake and data warehouse.
  • •Advocate for adopting industry tools and practices at the right time.
  • •Provide well-documented datasets with defined quality, uptime, and usefulness.

Pay and Benefits

Salary: USD 190,800 - 238,800 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401k

Key Requirements

  • •4+ years of dedicated data engineering experience solving complex data pipeline issues at scale.
  • •Experience building data models and pipelines on large datasets (500TB to petabytes).
  • •Comfort with SQL and modern orchestration tools such as DBT and Airflow.
  • •Experience with data warehouses and lakes including Redshift, Snowflake, and Databricks.
  • •Experience building and maintaining batch and real-time pipelines using Spark and Kafka.
Experience:Data engineering
Skills:Data quality focusStakeholder empathy
Tech Stack:SQLPythonGolangDBTAirflowRedshiftAtlanRetoolSnowflakeDatabricksSparkKafka

Company Brief

Plaid
Provides APIs that enable applications to connect with users’ bank accounts, verify financial data, and power payment and account verification workflows for fintechs and financial services companies.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn