Data Lake Services Developer

Join the top Information Technology and Analytic professionals in the industry to make invaluable contributions to our national security on a daily basis. In this innovative, self-contained, Big Data environment, the ManTech team is responsible for everything from infrastructure, to application development, to data science, to advanced analytics and beyond. The team is diverse, the questions are thought-provoking, and the opportunities for growth and advancement are numerous.

The successful candidate will leverage their development skills and experience to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, while maintaining and improving the Sponsor’s data lake services, Hadoop environment, and Hadoop services.

Responsibilities include but not limited to:

1. Designing and implementing large-scale ingest systems in a Big Data environment.
2. Optimizing all stages of the data lifecycle, from initial planning to ingest, through final display and beyond.
3. Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution capabilities.
4. Developing custom solutions/code to ingest and exploit new and existing data sources.
5. Working with Sponsor development teams to improve system and application performance.
6. Providing support to maintain, optimize, troubleshoot, and configure data lake services, the Hadoop environment, and Hadoop services as needed.
7. Organizing and maintaining documentation so others are able to understand and use it.
8. Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods.

Minimum Qualifications:

1. 2+ years programming/development skills and experience in Java.
2. Experience with service-oriented design and architectures.
3. Strong ability to manage competing priorities and communicate with multiple stakeholders.
4. High School Diploma/GED.

Preferred Qualifications:

1. Hands-on experience with Hadoop and Hadoop services, particularly with large Hadoop clusters.
2. Experience with Nifi flows and deployments.

Clearance Requirements:

TS/SCI with Polygraph.

Physical Requirements:

Use hands to operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer. The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly positions self to maintain computers in the lab, including under the desks and in the server closet.