--- title: 'Senior Data Engineer - Data Engineering at Plaid' canonical: 'https://feeny.ai/job/senior-data-engineer-data-engineering-plaid-san-francisco-npfse6fjchyj' type: 'job' last_seen: '2026-09-03' --- # Senior Data Engineer - Data Engineering at Plaid - **Company:** [Plaid](https://feeny.ai/companies/plaid) - **Location:** San Francisco, CA - **Compensation:** $191k–$239k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-03 - **Last confirmed live:** 2026-09-03 - **Apply:** https://jobs.ashbyhq.com/plaid/ce3b3add-47d9-402d-a31d-16ffd1d0adb4/application **Skills:** SQL, Python, Spark, Kafka, Redshift, Snowflake, Databricks, DBT, Airflow, Data Modeling, Data Warehousing, Data Lakes > Build and scale data systems and workflows using SQL, Python, Spark, and modern data orchestration tools. Own core data pipelines, ensure data quality and performance, and collaborate with cross-functional teams to drive business insights and strategic data usage. ## Job description We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. ## Responsibilities - 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. ## Qualifications - 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. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here https://plaid.com/legal/#candidate-privacy-notice. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. ## About Plaid ## Company Overview - **One-liner**: Plaid provides a data transfer network and technology platform that powers fintech and digital finance products by enabling applications to securely connect with users' bank accounts. - **Entity Type**: Private (Series D, late-stage) - **Headquarters**: San Francisco, California, United States - **Founded**: 2013 - **Founders**: Zach Perret, William Hockey ## Core Business - **Primary industry**: Financial Technology (Fintech) / Software Development - **Target customers**: B2B — fintech companies, digital financial services, banks, and developers (over 9,000 fintech partners) - **Mission or purpose statement**: "Make digital finance possible" and build a financial system that works for everyone. ## Products & Services - **[Account Linking & Auth]**: The gold standard in account linking with built-in fraud signals, identity verification, and high conversion rates. - **[Transactions, Balance, Identity, Assets, Investments, Liabilities]**: Enriched financial data products for building financial management experiences — categorized transactions, real-time balances, and merchant data. - **[Income & Employment]**: Verification and cash flow data for lending decisions. - **[Payment Initiation (Pay by Bank, Recurring, Payouts)]**: Bank payment solutions built for fintechs that move money at scale. - **[Monitor & Fraud Signals]**: Ongoing risk monitoring and identity verification tools. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed; raised $1.3B in total funding. - **Key Metric**: Total Funding of $1.3 billion; Annual Revenue estimated at $170M (per LinkedIn). - **Notable Investors/Partners**: Spark Capital (Seed lead), Index Ventures, Kleiner Perkins (Series C leads), Goldman Sachs Investment Partners (Series B lead). Partners with 12,000+ financial institutions across 20 countries. - **Growth Signals**: - 150M+ global users on the Plaid network. - 1M new daily connections across thousands of apps. - 55% YoY European customer growth. - Recognized on Time100 Most Influential Companies 2025. - Named on Forbes Fintech 50 for nine consecutive years. - Listed on Forbes Cloud 100. - Headcount grew 5.7% YoY to ~1,089 employees. ## Competitive Advantages - **Massive Network Effect**: Over 12,000 financial institutions and 9,000+ fintech partners create a powerful ecosystem that is difficult to replicate. - **Developer-First Platform**: High-quality APIs with 99.99% uptime, making Plaid the default infrastructure layer for fintech. - **Global Infrastructure**: Coverage across 20 countries (US, Canada, UK, France, Spain, Ireland, Netherlands, and more) with local expertise. - **Data Moat**: Access to enriched, real-time financial data (transactions, income, balances) that improves lending and fraud decisions. ## Strategic Focus - **European Expansion**: Strong emphasis on growing across Europe, with dedicated local teams and regulatory compliance. - **Payments & Money Movement**: Doubling down on bank payments (Pay by Bank, Payouts) to compete with card networks. - **AI & Engineering Velocity**: Investing in AI coding adoption and developer tooling to accelerate product delivery. - **Platform Expansion**: Moving beyond account linking into lending, identity, and fraud prevention. ## Why Work Here - **Engineering Culture**: Emphasizes a "growth mindset," bottoms-up innovation, and "all-in or nothing" commitment to long-term initiatives. Engineers are empowered to identify opportunities and ship quickly. - **Work Environment**: Vibrant offices in San Francisco (HQ), NYC, Raleigh-Durham, Seattle, and London. Offers catered meals, happy hours, and clubs. Remote options available in the US. - **Benefits**: Competitive pay, comprehensive health benefits (fertility, mental health, parental leave), home office stipends, daycare support, commuting benefits (CitiBike, Lyft). - **Team & Impact**: Over 900 team members across 6 offices globally. Described as a late-stage company that still operates like a startup — high autonomy and fast iteration. - **Growth**: Internship programs available; strong focus on career development and internal mobility. ## Sources 1. [plaid.com](https://plaid.com/) — Official website 2. [plaid.com/careers](https://plaid.com/careers/) — Careers page with benefits and culture 3. [plaid.com/company](https://plaid.com/company/) — About us / mission page 4. [plaid.com/engineering](https://plaid.com/engineering/) — Engineering culture page 5. [linkedin.com/company/plaid-](https://www.linkedin.com/company/plaid-) — LinkedIn profile with financials and headcount 6. [jobs.ashbyhq.com/plaid](https://jobs.ashbyhq.com/plaid) — Official job board ## Other roles at Plaid - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-plaid-new-york-3d4bppdb194r) — New York, NY - [Revenue Enablement Leader](https://feeny.ai/job/revenue-enablement-leader-plaid-united-states-evakrqxr5mrb) — United States - [Senior Product Manager, Consumer](https://feeny.ai/job/senior-product-manager-consumer-plaid-san-francisco-jh39arek688r) — San Francisco, CA - [Revenue Operations Accountant](https://feeny.ai/job/revenue-operations-accountant-plaid-san-francisco-ehpj09gh3acf) — San Francisco, CA - [Enterprise Account Management Leader](https://feeny.ai/job/enterprise-account-management-leader-plaid-new-york-87yh5hg07c3n) — New York, NY - [Software Engineer, Full Stack](https://feeny.ai/job/software-engineer-full-stack-plaid-seattle-m83d415g9yfx) — Seattle, WA - [Senior Software Engineer, Full Stack](https://feeny.ai/job/senior-software-engineer-full-stack-plaid-seattle-ptpqqqy8333m) — Seattle, WA - [Software Engineer, Backend](https://feeny.ai/job/software-engineer-backend-plaid-seattle-7br51hthh55g) — Seattle, WA - [Integrations Operations Engineer](https://feeny.ai/job/integrations-operations-engineer-plaid-san-francisco-re1e02etvh96) — San Francisco, CA - [Senior Data Scientist - Network Value (Credit)](https://feeny.ai/job/senior-data-scientist-network-value-credit-plaid-san-francisco-ew4b263ksgst) — San Francisco, CA