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.

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
• Active TS/SCI US Security Clearance Required
• Must be able to work onsite minimum 50% of the time in Washington D.C.
• 6+ years of experience data engineering, ETL, data pipelining
• 6+ years experience in an AWS environment

Preferred
• Database administration and development experience will be a plus for consideration.
• Experience with cloud message APIs and usage of push notifications.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

WORK YOU’LL DO

Deloitte is seeking a data engineer to work in a variety of settings to develop and design data pipelines to support end-to-end solutions. Candidate will build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc.
Duties:
• Develop and design data pipelines to support an end-to-end solution.
• Develop and maintain artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes.
• Integrate data pipelines with AWS cloud services to extract meaningful insights.
• Manage production data within multiple datasets ensuring fault tolerance and redundancy.
• Design and develop robust and functional dataflows to support raw data and expected data.
• Collaborate with the rest of data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc.

OUR PURPOSE

Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments.