Data Engineer

| Greater Denver Area
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.

Read Full Job Description
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • PHPLanguages
    • PythonLanguages
    • AngularJSFrameworks
    • SpringFrameworks
    • OracleDatabases
    • RedisDatabases
    • Dynamo DBDatabases

Location

We're in the heart of Downtown Denver. Our office is accessible via light rail and steps from various restaurants, cafes and the 16th Street Mall.

An Insider's view of Prove

What’s the vibe like in the office?

The vibe is great! Payfone's done a good job hiring people who really fit the company culture, so everyone gets along. It makes it easy to work hard when you know everyone else in the office is equally motivated and working to make the company more successful. Payfone also does a great job hosting events that get everyone together outside of work.

Easton

Implementation Manager

How has your career grown since starting at the company?

I'm constantly challenged to think outside the box. The complexity of our products creates an environment where the projects I'm working on require that I switch between several skills from documentation to data analysis and research. It couldn't get any better! I have a wider and deeper understanding of how a tech company operates.

Moses

Associate Business Analyst

What are Prove Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Parking
More Jobs at Prove4 open jobs
All Jobs
Data + Analytics
Dev + Engineer
Product
Developer
new
Denver
Developer
new
Denver
Data + Analytics
new
Denver