Deloitte Intel Data Engineer - ETL | Cloud | Data Warehousing - TS/SCI w. Poly - Federal Teams in Rosslyn, Virginia
In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI).
Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. Play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.
Work you'll do:
Deloitte is looking for a Data Engineer to join our team and help accelerate a federal mission client's discovery and delivery of identity and network-based intelligence insights to counter national security threats and malicious actors.
Our Data Engineer apply advanced exploitation methods, models, and emerging technologies and work side-by-side with mission customers and fellow analytics team members to drive data science support to the entire intelligence cycle.
Active TS/SCI w/ Poly security clearance required
80-100% Onsite SCIF requirement
2+ years' experience implementing supervised and unsupervised machine learning algorithms.
2+ years' experience with data cleaning and ETL scripts.
2+ years' experience executing data science methodologies using common programming/scripting languages, such as Python, Java, Scala, and R.
Experience leveraging data analysis to construct compelling narratives
Familiarity with AWS/cloud development and solutions architecture
Experience extracting features from data stored in a wide range of possible formats, including JSON, XML, raw text logs, industry-specific encodings, and graph link data
Experience executing data science method using parallel computing frameworks (e.g., deeplearning4j, Torch, Tensor Flow, and distributed data processing frameworks (e.g. Hadoop and Spark)
Familiarity with and experience developing in Govt cloud environments (C2S, ICGC), Custom Application Development Windows, and Admin/Scripting. Familiarity with Relational Databases and Querying languages (SQL. CAML)
Comfortable with Agile Methodology / SCRUM development, JIRA, Confluence. Experience with graph databases
Experience with statistical methodologies
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.