Data Engineer


Job Overview

**Title:**Data Engineer**ABOUT THIS POSITION**The successful candidate will be part of the Distributed KBR team supporting the Test Resource Management Centers (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD testing Ranges and various acquisition programs. For this position, we are looking for someone located near or willing to relocate near Edwards AFB to assist several customers. The Data Engineer will work on design, maintenance, completion, and end user training for a highly visible data analytic project, at multiple DoD ranges, creating efficient solutions with the goal of ultimately improving data analytics across DoD Test and Evaluation. The successful candidate will work with data scientist and software engineer team members to support our customers by demonstrating the art of the possible with insights gained from analyzing DoD Test & Evaluation data. The ideal candidate is adept at developing and using BD and KM tools on large data sets to find opportunities for process/workflow optimization. Candidates must have strong experience using a variety of relational and file-based databases, data mining/data analysis methods, using a variety of commercial and open source tools, building and implementing software, using/creating algorithms, wrangling/massaging data, and creating/running scripts and reports. They must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience. The right candidate will have a passion for discovering solutions hidden in large data sets and working with team members to improve and automate analyst-stakeholders day-to-day tasks. The successful candidate will have extensive technical expertise in software development and data science, have academic or industry experience, have excellent communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure. As a Data Engineer, you will be a critical part of our technical team responsible for evaluating customer requirements pertaining to complex big data analytic challenges. This team will provide analytical services and solutions to various DoD testing Ranges and acquisition programs. You will create data tools for stakeholders that assist them in building and optimizing analytics at DoD Ranges. To do this you will frequently work with data scientist and software engineer team members and interact with DoD Range analysts end users to discuss requirements and needs. This requires the ability to effectively communicate at both a programmatic and technical level. Data Engineers of all seniority levels are encouraged to apply and will be considered. This position will require travel of at least 1 week a month ( _post-COVID_ ) to support end users located at various DoD Ranges across the CONUS. Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how data analysis is performed across the entire Department of Defense!**Qualifications****BASIC QUALIFICATIONS**This position requires a bachelor’s degree in Computer Science, Data Science, Statistics or related, technical field, and 7-10 years of experience. Advanced degrees may be substituted for years of experience on a year-for-year basis. Data Engineers of all seniority levels are encouraged to apply and will be considered.Previous experience must include five (5) years of hands on experience in big data analytics.Previous experience must include five (5) years of hands on experience with object-oriented/object function scripting languages (e.g., Python, R, C++, C#, Java, etc.)Strong command of principles of: software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling.Proven analytical skills and experience in preparing and handling large volumes of data for ETL processes.Experience in the installation and configuration of big data infrastructure (Hadoop, SQL Server Big Data Cluster, Spark, Apache, VMWare, HBase, etc.)Experience in dealing with imperfections in data.Experience in implementing Data Visualization solutions.Active or Current Secret Clearance required – Top Secret Clearance preferred.Knowledge / Skills / Abilities:+ Well-rounded skills in data science: computer programming (e.g., Python, R), data structures (e.g., SQL, Hadoop), statistics (e.g., Bayesian modelling), data visualization (e.g., Tableau), modeling and simulation are required.+ One-year experience developing applications using Big Data databases (e.g., Accumulo, HBase, MongoDB, Cassandra).+ Experience building and optimizing big data data pipelines, architectures and data sets.+ Experience with installation, configuration and usage of some of the following: Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, Kafka, Storm, map-reduce, big-data analytics, semantic-web (RDF, OWL), and graph-databases.+ Must be prepared to learn new business processes or application nuances.+ Strong background in working with relational database management systems (e.g., SQL, Postgres, NoSQL) as well as file-based systems (e.g., Hadoop).+ Working knowledge of message queuing, stream processing and extracting value from large disconnected datasets.+ Experience with working in teams in the data science industry is preferred.+ The Data Engineer must have the ability to work closely with data scientists to develop and subsequently implement the best technical design and approach for new analytical products.+ Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.+ Working knowledge in statistical data analytics, machine learning, open source and proprietary tools and applications. Must have an excellent knowledge of advanced methods, and experience in applying those methods to solve problems.+ Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.+ Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are preferred.+ Knowledge of software design patterns and Agile Development methodologies is required.+ Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.+ Excellent written and verbal communications skills are required, as the Data Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.+ Ability to teach and mentor engineers with a variety of skill levels and backgrounds is a plus.+ Strong analytical skills related to working with both structured and unstructured datasets.+ Excellent programming, testing, debugging, and problem-solving skills.+ Experience designing, building, and maintaining both new and existing data systems and solutions+ Understanding of ETL processes, how they function and experience implementing ETL processes required.**ADDITIONAL QUALIFICATIONS**The preferred candidate will have experience working in government/defense labs and their computing restrictions.Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC), and Distributed Testing and Training.Experience working with major DoD Acquisition programs such as Joint Strike Fighter (JSF) or Missile Defense Agency (MDA) is a plus.Knowledge of DoD Cybersecurity policies.**Scheduled Weekly Hours:**40KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.KBR is a global provider of differentiated professional services and technologies across the asset and program lifecycle within the Government Solutions and Energy sectors. KBR employs approximately 38,000 people worldwide (including our joint ventures), with customers in more than 80 countries, and operations in 40 countries, across three synergistic global businesses:**Government Solutions** , serving government customers globally, including capabilities that cover the full lifecycle of defense, space, aviation and other government programs and missions from research and development, through systems engineering, test and evaluation, program management, to operations, maintenance, and field logistics**Technology Solutions** , featuring proprietary technology, equipment, catalysts, digital solutions and related technical services for the monetization of hydrocarbons, including refining, petrochemicals, ammonia and specialty chemicals, as well as inorganics**Energy Solutions** , including onshore oil and gas; LNG (liquefaction and regasification)/GTL; oil refining; petrochemicals; chemicals; fertilizers; differentiated EPC; maintenance services (Brown & Root Industrial Services); offshore oil and gas (shallow-water, deep-water, subsea); floating solutions (FPU, FPSO, FLNG & FSRU); program management and consulting servicesKBR is proud to work with its customers across the globe to provide technology, value-added services, integrated EPC delivery and long term operations and maintenance services to ensure consistent delivery with predictable results. **At KBR, We Deliver** .

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