Data Engineer

General Dynamics Information Technology is a global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government. As a Data Engineer Senior, you will develop enterprise-grade data platforms and services, helping clients overcome big-data obstacles and advance their missions.

Responsibilities:

• Deliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT
• Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission
• Help ensure today is safe and tomorrow is smarter
• Work with our clients to develop enterprise grade data platforms, services, and pipelines
• Lead and architect migration of data environments with performance and reliability
• Assess and understand the ETL jobs, workflows, BI tools, and reports
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP)
• Support an Agile software development lifecycle
• Contribute to the growth of our Data Exploitation Practice!

Requirements:

• Clearance Level Must Currently Possess: Secret
• Clearance Level Must Be Able To Obtain: Secret
• 2 + years of related experience
• US Citizenship Required: Yes
• Big Data
• Data Engineering
• Data Modeling
• Data Tools
• Structured Query Language (SQL)
• Ability to hold a position of public trust with the US government
• 2-4 years of experience working with MS SQL Server and SSIS to build ETL pipelines
• 2-4 years industry experience coding commercial software and a passion for solving complex problems
• 2-4 years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
• AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
• Data streaming systems: Storm, Spark-Streaming, etc
• Search tools: Solr, Lucene, Elasticsearch
• Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases
• Experience with message queuing, stream processing, and highly scalable ‘big data' data stores
• Experience manipulating, processing, and extracting value from large, disconnected datasets
• Experience manipulating structured and unstructured data for analysis
• Experience constructing complex queries to analyze results using databases or in a data processing development environment
• Experience with data modeling tools and process
• Experience architecting data systems (transactional and warehouses)
• Experience aggregating results and/or compiling information for reporting from multiple datasets
• Experience working in an Agile environment
• Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models