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Deloitte Senior Data Engineer in Washington, District Of Columbia

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

Under little or no supervision, responsible for the development of analytical solutions and databases. Develops specifications for the most efficient database solutions. Supports the evaluation and selection of solutions that meets customer requirements. Good working knowledge and hands-on experience with key software platform architectures, web servers, application servers, and relational databases. Performs work involved in one or more of the phases of developing software used in products or services provided to the customer.

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:

  • Eight (8) years relevant experience in applied data science research or big data analytics.

  • Bachelor's Degree in Computer Science, Engineering, Information Systems or related technical discipline. A Master's degree may be substituted for up to two (2) years of experience. A PhD may be substituted for up to five (5) years of experience.

  • Ability to perform functional and data requirements analysis, and implementation of data engineering projects, analyze customer requirements and provide solution recommendations.

  • Demonstrate knowledge of information engineering methodologies, process improvement, and performance measurement

  • Ability to support the development of organization-wide data models for use in designing and building integrated, shared software and database systems

  • Hands on experience developing in Python

  • Demonstrated experience in MS Azure Databricks

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

  • Must be able to obtain and maintain the required clearance for this role

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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