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Deloitte Lead Data Engineer- Government and Public Services in Rosslyn, Virginia

Lead Data Engineer

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. By joining our team, you will 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

  • Individual must have advanced knowledge and hands-on experience to enable Enterprise Information Management services (e.g. metadata management, data tagging, data cataloging, etc.), data pipeline services based on mission needs and objectives. security into infrastructure, platforms, and software.

  • Experience with enterprise streaming data use cases is preferred. This labor competency is responsible to plan and operate under a platform Authority to Operate in cloud environments, and have hands-on experience in Risk Management Framework (RMF) security assessments, documenting assessments, and communicating the outcomes of these assessments to leadership.

  • Knowledge and hands-on experience with agile and DevSecOps methodologies.

  • TS/SCI clearance.

The Team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Mathematics, or equivalent technical degree, with concentrations/focus in security or equivalent, or a minimum 6 years of enterprise data and information management experience

  • 4+ years' experience working with real-time and batched scalable enterprise data architecture processes and Enterprise Information Management technologies; data engineering with data technologies such as Spark and integration with enterprise access control services are desired

  • Certified Cloud Security Professional (CSSP) or equivalent is desired

  • 2+ years' experience with container technologies such as Docker or Kubernetes desired

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

    Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

    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.

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