Founded in 2014, Even Financial is a B2B fintech company that is transforming the way financial institutions find and connect with consumers. As the leading search, comparison, and recommendation engine for financial services, Even seamlessly bridges financial institutions (including American Express, Goldman Sachs, and SoFi) and channel partners (such as TransUnion and MoneyLion) via its simple yet robust API and embeddable marketplaces. Even turns any consumer touchpoint into an ROI-driven, fully customizable, programmatic acquisition source with full compliance and security at scale. Even’s investors are leading financial services firms and VCs, including American Express Ventures, Canaan Partners, Citi Ventures, F-Prime Capital (Fidelity), Greatpoint Ventures, Goldman Sachs, LendingClub, and MassMutual Ventures. Even placed in the Top 50 of the 2020 Deloitte Technology Fast 500, awarded to the fastest growing tech companies in the world, and has originated over $3B in credit to date.

The Senior Data Engineer at Even must be hands on with a broad and deep data skillset who can spearhead multiple concurrent data initiatives to meet business goals and improve existing data processing pipelines.

Day to day:

• Advising on, designing and developing product enabling data solutions
• Drive product critical, fast cycle POC work
• Oversee production of POC work as needed
• Gain additional insights from available data sets, working with Product/Data Science when appropriate
• Work closely with Product to set requirements as well as extract insights based on business requirements
• Find improvements and help keep the data pipelines in efficient, resilient and well tuned state with the goal of reducing processing related infrastructure efforts and expenses, saving both time and money for the company
• Be a steward of the data ecosystem, getting buy-ins from stakeholders for enhancements and cleanup/organizational improvements of the data throughout the company
• Be the technical partner for non-data-engineering teams (product, data science, platform and the rest of engineering) with their data needs/requirements, actively participating in all phases, from inception of the idea to production release
• Derive efficient approaches to meet business/product goals for data as well as general engineering efforts
• Participate in the conversion of POC work into scalable, maintainable and performant production ready data pipelines. This includes designing architecture, implementation as well as providing important updates throughout the project lifecycle

You might be a good fit if:

• Experience wrangling terabytes of big, complicated, imperfect data using scalable data processing frameworks such as Apache Spark, Kafka, AWS products (Redshift, EMR, S3, Glue, IAM, RDS, etc)
• A strong understanding of data structures, algorithms, and effective software design
• Significant development experience with a major modern language (e.g. Scala, Python, Ruby, C/C++, etc.)
• Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMS’s and data warehouses
• Experience writing unit, functional and end to end tests
• Comfort with version control systems (e.g. Git, SVN)
• Excellent verbal and written communication skills; must work well in an agile, collaborative team environment 

Full time employees are eligible for the following benefits:

Comprehensive medical/dental/vision packages + life and disability insurance

401K retirement plans

Stock options

Company paid holidays

Uncapped paid time off (PTO)

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.