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Deloitte Sr. Data Engineer 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. 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

The Data Engineer will have overall responsibility of planning how work within different teams will integrate into one solution. The Data Engineer will also have overall responsibility of being the primary representative on all architecture matters and the leading member of the Architecture Team. Responsibilities include mentoring and directing junior developers related to technical tasks and agile project development practices, and ensuring that all development is aligned with the program's platform and is not duplicative or designed in a way that it is not reusable.

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:

  • 5+ years of professional experience developing and testing software.

  • 5+ years of ETL and Data Engineering experience

  • 2+ years of experience with modern ETL tools such as Informatica, Snowflake, Talend, Databricks

  • 2+ years of experience developing applications leveraging big data technologies including at least one of the following:

  • Elastic Search

  • Cassandra

  • Janus Graph

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

  • Active Public Trust, Secret or Top Secret clearance required

Preferred:

  • Possess the ability to demonstrate current and at least advanced skills in front-end and middle-tier.

  • Possess the ability to demonstrate current and at least intermediate-advanced skills in back-end development.

  • Demonstrate a strong knowledge of concepts, methodologies and best practices - especially as they pertain to mitigating development risks, estimating tasks, coding standards and source control procedures.

How you'll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

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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