Join the Team


Love working in mobile, big data, machine learning, and fast-paced startups? We seek fearless developers, designers, and doers.

Senior Data Engineer

Raleigh, NC

Posted October 22, 2018

Reveal Mobile is a venture-backed startup pioneering the use of mobile location data to improve how companies better reach and serve their customers. Our clients leverage our tools and APIs to build dynamic audiences based on real-world location data.

To support our growth we are adding a Senior Data Engineer to the team. This critical role requires strong technical skills to help build our products, as well as leadership and communication skills to help us shape our processes and team culture as we grow. We have great benefits that include competitive pay, stock options and great PTO policies.

You will be joining a talented and diverse team leveraging the latest technologies to tackle the toughest problems in managing large streams of data. You’ll work on APIs and services, applications of machine learning, and massive data pipelines. You’ll play an active role in product development, and you’ll bring great ideas for ways to innovate and improve our platform.

By working at Reveal Mobile you’ll partner with a small startup that follows agile practices. Our office environment is casual and diverse but the pace is fast. Join us as we build a great software company that solves challenging problems and takes great care of its employees. We’re looking for growth trajectory over experience. We value intellectual ability, love of learning, and enthusiasm for team environments over years of experience.

What You’ll Be Doing

  • Help companies reach their customers and discover new customers who will love their products
  • Design, code, and test major features for our industry leading mobile-location data platform.
  • Work jointly with  in designing and implementing solutions to complex software development problems.
  • Conduct code reviews in accordance with team processes/standards.

Example Projects You Might Work On

  • Building high-throughput, low-latency ingestion pipelines for both batch and real-time data flows
  • Collaborating with data scientists to productionize machine-learning models to predict customer behaviors based on location history
  • Applying machine learning to our ingestion pipelines to predict and mitigate operational disruptions without manual intervention

Our Ideal Candidate

  • You use a combination of persistence, research, problem-solving skills, and experience to overcome obstacles
  • You take pride in your work. You are attentive to detail, but also flexible.
  • You are available for and responsive to questions. You are professional and collegial in your communications.
  • You like being the person that others rely on.
  • You quickly learn new technologies as needed and recognize that you are engaged in timely, business-critical tasks.
  • You are transparent in what you do. You discuss, document, and commit your work as needed
  • You enjoy working in an Agile environment and welcome constructive feedback

The Skills That Get You In The Door

  • 5+ years developing on the JVM
  • 3+ years with big data frameworks (Kafka, Kinesis, Spark)
  • 3+ years with working in AWS.
  • Experience working with Python, PySpark, and/or Scala
  • Experience with one or more scripting languages
  • Experience with building high-performance database and ETL applications
  • Strong understanding of database fundamentals, including performance tradeoffs in database and index design
  • GIS familiarity
  • Experience with Git and continuous integration systems
  • Experience with or desire to learn a functional programming language (scala)

Bonus Points

  • Experience working with GO
  • Comfortable working in Linux and with bash shell scripting
  • Experience in ad tech

To apply send us an email to and share any and all relevant work, whether that be listed on a resumé or laid out in your GitHub repo.