The Data Engineer is an accomplished technical leader and a team player with substantial software engineering experience, preferably with some experience within the healthcare industry. The candidate must have hands-on experience with enterprise level software development, integration and implementation using advanced data science or big data technologies. The ideal candidate will have a good foundation of the Java , Spark, MapReduce, REST API, AWS, S3, PostgreSQL,NoSQL and Graph database technologies .
The candidate must demonstrate a willingness to learn new cutting edge technologies and overcome technical challenges in a fast paced environment. The candidate will provide design, and implementation expertise to across-functional software development team. The Data Engineer will play a keyrole in developing next generation data analytics platform leveraging latest data science technologies, DevOps, cloud computing, and Data Lake / big data technologies.
Architect, design, code, and implement next-generation data analytics platform using software engineering best practices in the latest technologies
Apache Spark, Java, Scala, R
Graph database technologies like Neo4j, Neptune
NoSQL technologies like Cassandra, HBase,DynamoDB
Spark integration with Big Data (Hadoop), AmazonEMR
Provide software expertise in these areas: Sparkbased applications, Java application integration, web services, Cloud computing.
Develop solutions to enable metadata/rules engine driven data analytics application leveraging open source and/or cloud native components.
Passion for learning, growing, and mentor team members on the fine art of data engineering and advanced data science technologies.
Develop solutionsin a highly collaborative and agile environment.
Bachelor's degree in computer science or a related field
6+ years of experience with full life cycle development
4+ years of combined experience with Java, Scalaor R
2+ years of combined experience in Apache Sparkor MapReduce
Experience in an Agile development team,preferably SAFe
Education and/or formal training may substitute for experience requirement
U.S. citizen or legal right to work in the United States without sponsorship
Excellent knowledge of Spark SQL and ORMtechnologies (JPA2, Hibernate)
Excellent knowledge of NoSQL and Data Lake best practices
Excellent knowledge of core java, collection framework, generics and multithreading
Basic knowledge of Unix/Linux commands especiallyin processing data files
Preferred experience with Spring Framework(Boot, Cloud, Security, Data)
Preferred experience with ATTD and associated technologies (Fitnesse, Junit, Karma/Jasmine)
Preferred experience with delivering code using Continuous Integration and Continuous Delivery (CI/CD) best practices and DevOps to production
Preferred experience with AWS cloud technologies(S3, Redshift, Lambda, Glue, QuickSight)
Qualifications Requires Bachelor's degree (in Engineering, Computer Science or related field) or equivalent, and seven to nine years of related experience. Degrees See Qualifications Years of Experience See Qualifications Position Type Full-Time Shift Day Overview For more than 40 years, ManTech employees have been solving complex problems for the national security community. We are comprised of approximately 10,000 talented employees around the world. We adhere to the simple, no-nonsense values on which ManTech was founded more than four decades ago, aligning squarely with the mission objectives of our customers. As our customer base continues to expand and diversify, we continue to diversify our workforce and solutions. Half our employees have a military background, and more than 70 percent hold a government security clearance. As a leading provider of innovative technology services and solutions for the nation's defense, security, space, and intelligence communities; we hold nearly 1,000 active contracts with more than 40 different government agencies.
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