About Prove
Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions including 7 of the top 10 U.S. banks. Prove’s cloud solutions and mobile intelligence -driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately, while mitigating fraud. Prove’s solutions are available in 195 countries. For the latest updates from Prove, follow us on LinkedIn.
As we continue to scale our company, we are looking for people who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly and make intelligent decisions. The work is challenging and requires not only smarts, but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.
Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.
Position Summary
The Data Engineer will be responsible for building and optimizing our data and data pipeline architecture as well as building automated processes for production jobs. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
What You Are Accountable For
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re- designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Non-SQL technologies
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data systems
- Promote, maintain and enhance our cultural values of humility, passion, inclusion and leadership
- Exhibit a strong passion for learning our products and markets through in-house and external training
What We Require
- CS degree in Computer Science of Software engineering, or relevant experience
- 2 to 5 years of industry experience including:
- > Leveraging advanced SQL knowledge and experience working with relational databases
- > Automation frameworks like Pentaho, Luigi, etc
- > Python, Java, C++, or Scala
- Experience with stream processing systems like Kafka, Storm, Spark-Streaming, etc is a plus
- Experience with enabling and supporting a data science and product team
This position description should not be considered the final description of the position. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions.
Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics.
