Plaid
Staff Software Engineer - Data Infrastructure
San Francisco HQ · Staff+
Sponsorship not specifiedDetected 68 days ago
PythonDatabricksAWSMachine LearningSparkAirflowData EngineeringAI OrchestrationProject ManagementEHR/EMRLeadershipCommunicationCollaborationMentoring
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
DOL often reclassifies their job titles
The Department of Labor assigned a different occupation than this employer requested on 42% of its 12 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.
Files H-1B transfers
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About the role
- We believe that the way people interact with their finances will drastically improve in the next few years.
- 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.
Responsibilities
- Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.
- Growing the team via mentorship and leadership, reviewing technical documents and code changes.
Requirements
- 6+ years of software engineering experience
- Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.
- Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.
- Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.
- Experience with Databricks
- Experience with Airflow
- Experience with AWS EMR
- Experience with Python
- Deep understanding of one of the below:
- Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.
- Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.
- Nice-to-Have:
- 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.
Skills
- Plaid powers the tools millions of people rely on to live a healthier financial life.
- Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe.
- Making data driven decisions is key to Plaid's culture.
Compensation
- Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
Benefits
- Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
Company info
- Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
- We provide tooling and guidance 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.
- We are always looking for team members that will bring something unique to Plaid!
This listing is sourced directly from Plaid's careers page and normalized into a canonical job model.