Sr Data Engineer

Xenith Solutions is a small family focused business where we focus on taking care of our employees and customers equally.  We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior service.  If you want to be a part of a rapidly growing business with an exceptional culture, then you want to be a part of the Xenith Solutions family.
Xenith offers unmatched Benefits:

• 100% of Medical, Dental, and Vision benefits paid by employer
• FSA or HSA available
• Unlimited Paid Time Off (PTO)
• 401(k) matching (100% up to the first 4%) with NO vesting period
• Tuition / Certification / Training reimbursement
• Accident / Disability / Universal Life Insurance
• And much more…

Xenith Solutions is currently looking for a Informatica Intelligence Cloud Services (IICS) Data Engineer with agile methodology experience to join our BEAGLE (Border Enforcement Applications for Government Leading-Edge Information Technology) Agile Solution Factory (ASF) Team supporting Customs and Border Protection (CBP) client located in Northern Virginia! Join this passionate team of industry-leading individuals supporting the best practices in Agile Software Development for the Department of Homeland Security (DHS).
What you’ll get to do:

• Modernize the data warehouse environment by migrating the Informatica Powercenter to Informatica Intelligent Cloud Services (IICS)
• Help customers and mission users conceptualize and prioritize their data analysis and visualization needs.
• Collaborating with teams across the organization to help prioritize competing analytic needs and incrementally develop new and optimized capabilities.
• Working on unusually complicated problems and providing solutions that are highly creative and ingenious, exhibiting creativity and resourcefulness.
• Evaluating existing data sets and reporting architectures to identify strategic gaps and apply modern technologies to creatively achieve superior mission outcomes.
• Apply your skills in development languages such as SQL, Sparks, Python and to create or augment business and operational intelligence tools to detect trends, patterns, and non-obvious relationships in large, complex, and disparate data sets.
• Lead across teams and organizations as a responsible, team-oriented individual with outstanding written and verbal communication skills and work ethic.
• Promote Agile culture and functional decomposition
• Identify new portfolio business value innovations and opportunities
• Assists in removing roadblocks/impediments for the various teams
• Works with coaches on establishing coaching plans for teams that might not be trending well on metrics or in general with ASF/Agile concepts

• 3 year check for felony convictions
• 1 year check for illegal drug use
• 1 year check for misconduct such as theft or fraud
• 7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering
• 3-5 years of Informatica experience (at least 1 year in IICS implementation experience)
• Database skillset for AWS RDS concepts, and understanding of database principles used by tools such Databricks, Oracle, and Informatica ETL
• Strong software development background using Agile or DevOps methods and deep familiarity with cloud-native technologies.
• College degree (B.S.) in Mathematics, Statistics, Computer Science, Software Engineering, or a related discipline. (Industry and/or Academic experience is acceptable in lieu of degree.)

• 5-10 years of DHS, DoD, or IC experience working in complex data environments, including the architecture and optimization of data schemas, terabyte-scale ETL, etc.
• 5-10 years of experience applying a range of analytical techniques including statistical, geospatial, link, temporal, and predictive analysis, for DHS, DoD, or IC agencies.
• 3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
• Exposure to Continuous integration, Continuous Deployment (CI/CD) and DevOps processes and tools
• Exposure to implementing or migrating to Cloud environments like Amazon Web Services (AWS) or Microsoft Azure.
• Previous experience as an Enterprise-level Data Architect, Data Engineer, Data Scientist, or Data Analyst.
• Ability to apply advanced principles, theories, and concepts, and contribute to the development of innovative principles and ideas.