About Us: Silectis is a data analytics company that developed and built Magpie, a cloud-based computing infrastructure and hub for analytics. Along with our software platform, the Silectis consulting team delivers the expertise required to find value in big data. Silectis believes applying proper data analytics can change your business.

Position: As a full-stack platform engineer at Silectis, you will work on our core data integration and analytics platform, Magpie. You will have the opportunity to contribute to all aspects of the platform, from the backend engine and API to the frontend user interface. You will also collaborate with our customer team to identify opportunities to improve the Magpie platform and build out new capabilities to meet customer needs.

Most of our development work is in Scala, but if your experience is in another language, and you are interested in learning, this is a great opportunity. A good grasp of the fundamentals of functional programming would be helpful, but practical experience is not necessary.

This is a full-time position at our office in the Shaw neighborhood of Washington, DC.

About You:

  • You want to work on intellectually demanding problems.

  • You should be eager to work in a collaborative, team environment, and participate in the full lifecycle of building a product or feature, including architecture, design, development and testing.

  • You should be comfortable with doing a wide variety of work, especially early on as we are building the team. This could include working on our core platform, working on a specific customer solution, or building infrastructure and automation to make the team more efficient.

  • You should have a strong understanding of the fundamentals of software design, algorithms, and data structures, and a keen interest in expanding your skills and helping others do the same.

  • You will be one of the early members of the team and you will have the opportunity to help shape the organization.

Core Qualifications:

  • BA/BS degree in Computer Science or equivalent experience

  • 2 to 6 years of experience in a software engineering role

  • Experience building either analytical applications focused on data processing, or enterprise web applications.

  • Good relational database/SQL skills

  • Some experience working in Linux and the ability to do scripting in a mainstream language like Bash, Python, or Ruby

  • Experience in the AWS environment and the ability to do some light admin (e.g., spin up instances, script against the CLI)

Additional skills (preferred but not required):

  • Background in Spark or other large-scale data processing frameworks (MapReduce, Flink, etc.)

  • Experience programming in Scala or another functional language

  • Experience designing databases for high performance analytics

  • Experience with frontend development using a Javascript framework like Angular or React

  • Familiarity with the basics of AI and machine learning and/or experience working with data science teams to implement models

Even if you don’t meet all the qualifications listed above, or if you know there are areas where you will need to come up to speed, you should still apply. First and foremost, we want dedicated, sharp, inquisitive teammates who want to build a great engineering organization and a great company.

If you would like to apply, please email us at