Data Engineer II
DeloitteAbout the role
Data Engineer II
Arlington/Rosslyn, Virginia, United States
Position Summary
Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work You’ll Do
As a Project Delivery Management Engineer II on the project, you will:
- Interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data.
- Work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions.
- Create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case.
- Perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics.
- Analyze data and systems architecture, create designs, and implement information systems solutions.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte’s Government & 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 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models— traditional teams, pools, or pods, are tailored for each client’s needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
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 Secret security clearance required
- 2+ years of software or data engineer experience utilizing tools and technology such as Amazon Web Services (AWS), Docker; Kubernetes, and Python
- 2+ years of experience utilizing Python for Data Engineering
- Ability to perform job responsibilities within a work model that requires professionals to co-locate in person 3 days per week.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with the following: Push Messaging, Atlassian, Confluence, Agile Methods & Tools, JIRA
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