Senior Data Engineer

Plaid
New York
Workplace: HybridFull timeUSD 190,800 - 238,800 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Data quality mindset","Cross-functional collaboration","Stakeholder communication","Proof-of-concept development","Data privacy & integrity"]

Build and scale Plaid’s golden datasets and data workflows to help teams make faster, more informed decisions. Own core SQL and Python pipelines that power Plaid’s data lake and data warehouse, with a strong focus on data quality, performance, documentation, and uptime. Partner cross-functionally with engineering, product, and data teams to drive data strategy, adopt industry tools, and deliver reliable datasets that enable proactive analytics.

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Plaid
Plaid
1 day ago

Senior Data Engineer

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Last checked: 6 hours agoStatus: Live

Job Summary

Build and scale Plaid’s golden datasets and data workflows to help teams make faster, more informed decisions. Own core SQL and Python pipelines that power Plaid’s data lake and data warehouse, with a strong focus on data quality, performance, documentation, and uptime. Partner cross-functionally with engineering, product, and data teams to drive data strategy, adopt industry tools, and deliver reliable datasets that enable proactive analytics.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Identify the right golden dataset choices by understanding Plaid’s product and strategy and applying data usage principles.
  • •Design datasets with data quality and performance as top priorities.
  • •Lead key data engineering projects that drive collaboration across the company.
  • •Own core SQL and Python data pipelines that power Plaid’s data lake and data warehouse.
  • •Maintain well-documented datasets with defined quality standards, 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 data engineering experience delivering complex data pipelines at scale.
  • •Experience building data models and data pipelines on very large datasets (hundreds of TB to petabytes).
  • •Strong SQL skills and comfort with data orchestration tools such as DBT and Airflow.
  • •Hands-on experience with performant warehouses and data lakes, including Redshift, Snowflake, and/or Databricks.
  • •Experience building and maintaining batch and real-time pipelines using technologies like Spark and Kafka.
Experience:4+ years
Skills:Data quality mindsetCross-functional collaborationStakeholder communicationProof-of-concept developmentData privacy & integrity
Tech Stack:SQLPythonGolangDBTAirflowRedshiftAtlanRetoolSnowflakeDatabricksModeSparkKafka

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