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Job Details


Deloitte

Senior Data Engineering Specialist (21203)

Engineering and Architecture

Architectural Engineering

Yearly

No

Arlington, Virginia, United States

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

A Data Engineer will be responsible for leading the setup of an AWS hosted data lake as well as the ingestion pipeline and processing for 100+ datasets, working closely with Agile software development team(s). This role includes responsibilities such as creating and managing schedules for data management (migration, integration, etc.) efforts, working with clients to validate migrated data, working with Agile development teams to understand changes and their impacts towards data migration efforts, among other tasks.

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 required
  • 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
  • Travel up to 10%

  • 5+ years data engineering, data management and transformation experience

  • 2+ years experience with Big Data tools such as Kubernetes, MongoDB
  • 3+ years experience with Extract, Transform, Load (ETL)


Preferred:


  • Professional Amazon Cloud Architecture certification

  • Ability to thrive in a fast-paced work environment with multiple stakeholders
  • Knowledge of data mining, machine learning, data visualization and statistical modeling
  • Prior professional services or federal consulting experience

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.