Plaid
Senior Software Engineer - Data Infrastructure
Plaid, San Francisco, California, United States, 94199
Senior Software Engineer - Data Infrastructure
Base pay range: $180,000.00/yr - $270,000.00/yr 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 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 build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data. Responsibilities
Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid Lead 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 Work with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid Debug, troubleshoot, and reduce operational burden for our Data Platform Grow the team via mentorship and leadership, reviewing technical documents and code changes Qualifications
5+ 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 Deep understanding of one of: ML Infrastructure systems (Feature Stores, Training Infrastructure, Serving Infrastructure, Model Monitoring) OR Data Infrastructure systems (Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration) Strong cross-functional collaboration, communication, and project management skills Proficiency in coding, testing, and system design for reliable and scalable solutions Demonstrated leadership abilities, including mentoring and guiding junior engineers Nice to have: experience with Databricks, Airflow, AWS EMR Compensation and Benefits
Salary: $180,000 - $270,000 per year. The target base salary ranges by geographic zone. Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form 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 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.
#J-18808-Ljbffr
Base pay range: $180,000.00/yr - $270,000.00/yr 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 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 build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data. Responsibilities
Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid Lead 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 Work with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid Debug, troubleshoot, and reduce operational burden for our Data Platform Grow the team via mentorship and leadership, reviewing technical documents and code changes Qualifications
5+ 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 Deep understanding of one of: ML Infrastructure systems (Feature Stores, Training Infrastructure, Serving Infrastructure, Model Monitoring) OR Data Infrastructure systems (Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration) Strong cross-functional collaboration, communication, and project management skills Proficiency in coding, testing, and system design for reliable and scalable solutions Demonstrated leadership abilities, including mentoring and guiding junior engineers Nice to have: experience with Databricks, Airflow, AWS EMR Compensation and Benefits
Salary: $180,000 - $270,000 per year. The target base salary ranges by geographic zone. Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form 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 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.
#J-18808-Ljbffr