Big Data Analytics Engineer

Location: Springfield, VA
Job Location: NGA New Campus East (NCE), Springfield VA

Clearance Required: Must be a U.S. Citizen and possess a current and active TS/SCI clearance granted by the Department of Defense or an Intelligence Community agency. Must be able to pass a Counterintelligence (CI) Polygraph.

Background:
Assured Consulting Solutions provides strategic and innovative solutions for customer needs across the business, technology, and organizational spectrum. As a member of our team, you will have the chance to work with customers that are both Government and industry leaders and technology innovators.
 
We are seeking a highly motivated Big Data Analytics Engineer to join our team. As a Big Data Analytics Engineer, you will analyze, visualize, and model data in order to build and implement data models. You will work on code that improves our operations and experiences for customers. You will make use of the latest advances in large scale data processing and data visualization to uncover insights in data and merge state-of-art optimization algorithms with distributed systems engineering to build systems that drive efficiencies in workflows. As a Big Data Analytics Engineer, you will contribute to building lasting, scalable data infrastructure, and work with other engineers to implement ETL processes. You will build, train, update, evaluate, and deploy Machine Learning models while designing processes and data models to ensure that data is easy to find and use.

Responsibilities include, but are not limited to:
  • Design, implement, or operate comprehensive data to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements
  • Develop data warehouse data pipelines, including sourcing, loading, transformation, and extraction
  • Create or implement metadata processes and frameworks
  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing
  • Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow
  • Design and implement warehouse database structures
  • Develop and implement data extraction procedures 
  • Develop or maintain standards for the design of data warehouse elements, such as data architectures, models, tools, and databases
  • Implement business rules via stored procedures, middleware, or other technologies
  • Map data between systems
  • Design and develop data graphs, charts, reports and visualizations

Required Qualifications:
  • Bachelor’s degree (in Engineering, Computer Science or related field) or equivalent
  • Ten (10) or more years of relevant experience
  • Deep knowledge of computational complexity theory, with ability to code time- and space-efficient algorithms with good scalability. This skill is required due to the familiarity with computer science fundamentals, algorithms and data structures required to be successful in this role
  • Experience with Linux and AWS
  • Ability to understand and mathematically model practical problems 
  • Proficient with scripting, such as Python, Java, C++, or similar
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Experience with virtualized / cloud computing / storage environments
  • Experience with developing solutions and integrating and extending Open Source Software or COTS products
  • Strong analytical and problem solving skills
  • Excellent interpersonal and communications skills necessary to function within a team environment
  • IAT Level III 8570 Certification

Desired Qualifications:
  • Experience with processing large amounts of data in a cloud environment 
  • Solid knowledge in state-of-art algorithms
  • Experience with building operations research machine learning algorithms, and productionizing them at scale in a distributed computation environment

Education Qualifications:
Requires a Bachelor’s degree (in Computer Science or related field) or equivalent, and ten (10) to twelve (12) years of related experience. Minimum of four (4) years of experience in the technology/tools specific to the target platforms.

Years of Experience:
06-08 years w/ Master's Degree
10-12 years w/ Bachelor's Degree
14-16 years w/ High School Diploma

Position Type: Full-Time

Shift: Day
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