Data Management Project Engineer III

The team

Qualifications

• Required:
• Bachelor's degree
• 4+ years of experience in application development using test-driven development and Python
• 4+ years of experience in machine learning, advanced statistical analysis and modeling, and Tableau
• Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with polygraph
• Ability to work onsite in Annapolis Junction, Maryland
• Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• 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 software development life cycle (SDLC)
• Experience with UiPath or another enterprise robotic process automation platform
• Experience with application programming interface (API) integrations
• Experience with continuous integration/continuous deployment (CI/CD) pipelines
• Experience with PowerShell scripting
• Experience preparing technical documentation for security review or Authority to Operate (ATO) processes
• For individuals assigned and/or hired to work in Maryland, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Maryland and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,800 to $171,300.
• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.