Software Engineer - Data

Blend, San Francisco

We stand for better lending

Duration: Full-Time

Blend helps lenders maximize their digital agility. Our digital lending platform is used by Wells Fargo, U.S. Bank, and other leading financial institutions to increase customer acquisition, improve productivity, and accelerate the delivery of any banking product across every channel. We process more than $3.5 billion in mortgages and consumer loans daily, helping millions of consumers get into homes and gain access to the capital they need to lead better lives.

We're looking for a Data Engineer who is driven to solve hard problems— the harder, the better. We’re motivated by the fact that our product won’t just affect the lives of a few people in the Bay Area— it affects people all over the U.S., not to mention a foundational part of the U.S. economy. As a Data Engineer, you can define how we instrument our data infrastructure to influence the entire industry. Your contributions to Blend’s data architecture and infrastructure will shape the company’s ability to innovate in the consumer finance space.

Our ideal Data Engineer has hands-on experience building and architecting data pipelines and distributed systems. Using this expertise, you will work both independently and collaboratively with Engineers, Product Managers, and Analysts to appropriately prioritize, execute, and innovate on the organization’s data needs.

Who you are:

At least 2+ years of relevant industry experience
Shipped several large scale projects with multiple dependencies across teams
Recent accomplishments working with relational as well as NoSQL data stores, methods, and approaches (logging, columnar, star and snowflake, dimensional modeling)
Experience in ETL development strongly preferred
Experience working with highly-sensitive data a plus
Experience and interest in working with state-of-the-art data technologies: Hive, Redshift, Snowflake, or other data warehouses strongly preferred
Spark, Presto, Hadoop or other query engines a plus
Kafka, Logstash, Spark Streaming or other stream processing technologies a plus
Experience with Python or Go, Docker, and SQL required; Typescript a plus
Experience with AWS or GCP devops a plusDeep understanding of the infrastructure that powers large scale analytics and machine learning systems a plus
Ability to communicate effectively within and across teams

How you'll contribute:

Design, build, and maintain data pipelines from the ground up that instrument new functionality such as automatic metrics generation, pipeline auditing, and data repopulation
Develop and scale out reporting solutions, delivering actionable insights in an intelligent manner to enable a data-driven decision-making culture for internal and external clients
Drive and lead complex, large projects independently, partnering with product managers and other stakeholders to understand business requirements and craft technical solutions
Ensure accuracy, completeness, and consistency of data
Maximize the impact of our infrastructure
Partner with other engineers, analysts, and product managers to build systems for effective data exploration and consumption
Ensure that all data components are designed and implemented in compliance with our information security requirements
Working in a fast-paced environment where people are valued

Benefits and Perks:

Meaningful equity and a 401(k) plan
Comprehensive health benefits
Wellness benefits covering a variety of wellness activities, gym memberships, fitness classes and more
Daily meal stipend for non-regularly remote employees during COVID-19 (and lunch, dinner,snacks, and Pizza Fridays provided in offices outside of COVID-19)
Diversity and inclusion training
Weekly mindfulness meditation class
Weekly remote company all-hands
4 months of paid parental or personal leave
Flexible work schedule, with open vacation policy and companywide mental health days during COVID-19
Work from home office set up stipend and internet stipend during COVID-19

Blend is an equal opportunity employer that values diversity, inclusion and belonging. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will consider for employment all qualified applicants with arrest and conviction records in a manner consistent with applicable law, including the San Francisco Fair Chance Ordinance.

Blend is an equal opportunity employer that values diversity, inclusion and belonging. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status disability status, or any other characteristic protected by law. We will consider for employment all qualified applicants with arrest and conviction records in a manner consistent with applicable law, including the San Francisco Fair Chance Ordinance.

Notice at Collection for California Applicants

About Blend

At Blend, we’re dedicated to improving consumer lending. We partner with banks and lenders to power frictionless, compliant, and more accessible lending— starting with mortgages. We’re motivated by the fact that our product won’t just affect the lives of a few people in the Bay Area— it affects people all over America. Founded in 2012 by a group of former Palantir engineers, Blend raised $100M from Greylock and Emergence Capital in the summer of 2017. We've just moved into new offices in SF and NY, we're growing quickly, and we're going to need some help.