Data Engineer - Clearance Required

Springfield, VA
Nov 26, 2021
Nov 28, 2021
Engineer, IT, QA Engineer
Full Time
LMI has an immediate need for a Data Engineer in our Data Operations group. LMI teams use the latest technologies, databases, and components in a fast paced agile team environment to provide creative and cost effective solutions to our clients. The position will be located at the client site in Ft. Belvoir, VA.LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers' unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies. *Active Top Secret clearance required for this position*This position will be in support of a federal customer as they optimize and scale their data analytics platform, replacing and revitalizing outdated custom applications within a full-stack modern technology platform. The key goal is to meet new business requirements while utilizing Agile best practices to create a lean and efficient solution.Experience building data models Experience with relational and NoSQL/document based data stores Experience developing data ontologies, business rules, and creating metadataExperience creating automated ETL/data pipelinesMINIMUM QUALIFICATIONS:3+ years of experience as a data engineer or in a similar role with duties that included data modeling, data sourcing, data warehousing, and building ETL pipelines3+ Experience in product development using/tuning SQL, NoSQL, python, or equivalent tools2+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results1+ years of experience in working with machine learning models and algorithms, including natural language processing (NLP)1+ years of experience in implementing big data processing technology (Hadoop, HDFS, yarn, Spark, mongoDB etc.)2+ years of experience with Pub/Sub architecture, NiFi, RabbitMQ, and KafkaDemonstrated experience delivering actionable insights for usersExperience with using Cloud services, including AWS and AzureTop Secret clearance required; TS/SCI desired4 CONUS Trips between NCR and FBNC (Fort Bragg). Up to 30 Days OCONUS. DESIRED SKILLSExperience working directly on a data science team developing AI/ML enabled productsExperience with technologies such as Kubernetes, RShiny, Kafka, Spark, and HadoopExperience with AWS (S3, EC2, Lambda)MA or MS degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or related technical field#LI-SH1