This project supports a multi-domain technology platform which offers military and business decision makers, analysts, and users at all levels unprecedented access to authoritative enterprise data and structured analytics in a scalable, reliable, and secure environment. It offers platform-, data analytics-, and data science-as-a-service tools to complete analysis and data exploration and data visualization capabilities. Using one central data platform with right-time data, data tools, and other self-service products, the goal is to simplify solutions and put the power of analytics in the pocket of every analyst and decision-making authority at the Department of Defense.

Data is absolutely the lifeblood of this platform and our data engineers are the doctors administering it! Our data engineers support data collection, ingestion, validation, and loading of optimized data in the appropriate data stores. They work on a team made up of analyst(s), developer(s), data scientist(s), and a product lead and everyone on the team collaborates in support of a specific the mission. Working directly with the analyst(s) and the product lead, the data engineer identifies and implements solutions for the data requirements, including building pipelines to collect data from disparate, external sources, implementing rules to validate that expected data is received, cleansed, transformed, massaged and in an optimized output format for the data store. The Data Engineer performs validation and analytics corresponding with client requirements and evolves solutions through automation, optimizing performance with minimal human involvement. As pipelines are executed, the data engineer monitors their status, performance, and troubleshoots issues while working on improvements to ensure the solution is the very best version to address the customer need.

As a Mid-Level Data Engineer, this role focuses specifically on the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. The best athlete candidate for this position will be able to apply advanced consulting skills, extensive technical expertise and has full industry knowledge to develop innovative solutions to complex problems. This candidate is able to work without considerable direction and may mentor or supervise other team members.

What we’re looking for:

  • A solid background developing solutions for high volume, low latency applications and can operate in a fast paced, highly collaborative environment.
  • Distributed computer understanding and experience with SQL, Spark, ETL.
  • An appreciation for the opportunity to be independent, creative and challenged.
  • A curious mind, passionate about solving problems quickly and bringing innovative ideas to the table.
  • Wilingess/ability to work on client site 1 day a week, possibly more if required by the client.

Disruptive Solutions, LLC. is an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive innovation – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Basic Qualifications:

  • 4+ years of experience with SQL
  • 4+ years of experience developing data pipelines using modern Big Data ETL technologies like NiFi or StreamSets.
  • 4+ years of experience with a modern programming language such as Python or Java
  • 4 years of experience working in a big data and cloud environment
  • Minimum TS/SCI

Additional Qualifications:

  • 2 years of experience working in an agile development environment
  • Ability to quickly learn technical concepts and communicate with multiple functional groups
  • Ability to display a positive, can-do attitude to solve the challenges of tomorrow
  • Possession of excellent verbal and written communication skills
  • Preferred experience at the respective command with an understanding of analytical and data paint points and challenges across the J-Codes.

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