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Job Description

Deloitte is seeking a Data Engineer II who will design, build, deploy, and maintain QuickSight-based reporting and dashboard solutions. The role combines hands-on Amazon QuickSight development with Python to support the full BI delivery lifecycle, from understanding the client environment to enabling informed decision-making through actionable insights.

What you’ll do

  • Review the client’s existing data environment, reporting processes, and Python code to understand capabilities, constraints, and improvement opportunities.
  • Collect and translate business and technical requirements into scalable dashboards, reports, data models, and analytics reporting solutions.
  • Design, build, and implement interactive dashboards and visualizations using Amazon QuickSight.
  • Create reporting logic including calculations, metrics, filters, parameters, and business rules to deliver accurate, actionable insights.
  • Use Python to analyze client data, evaluate existing code, support data preparation, and automate or enhance reporting processes when appropriate.
  • Integrate, transform, and model data from multiple sources to produce reliable datasets for analytics and reporting.
  • Support the end-to-end delivery of data-driven reporting and dashboard solutions, including ongoing deployment and maintenance.

What you bring

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 3+ years of experience in Python, including the ability to analyze the client’s environment, review and understand Python code, support data preparation, and build automation or reporting enhancements.
  • 1+ years designing, developing, and implementing interactive dashboards and visualizations using Amazon QuickSight.
  • 1+ years gathering, documenting, and translating business and technical requirements into dashboards, reports, data models, and scalable analytics solutions.
  • Ability to travel 10%, on average, based on client needs and the industries or sectors served.
  • Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.

Technologies

  • Amazon QuickSight
  • Python

Compensation

Washington, DC (onsite): USD 84,400 - 140,600 per year.

For individuals assigned and/or hired to work in Maryland: A reasonable estimate of the current range is $84,400 to $140,600.

Incentive opportunity

You may also be eligible to participate in a discretionary annual incentive program, subject to program rules, where an award, if any, depends on various factors including individual and organizational performance.

Preferred qualifications

  • Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • Experience developing reporting logic such as calculated fields, metrics, filters, parameters, controls, and business rules.
  • Experience integrating, transforming, and modeling data from multiple sources to create reliable, reusable datasets.
  • Ability to assess existing reporting processes and technical solutions, identify gaps and constraints, and recommend practical improvements.
  • Willingness and ability to support a heavy build and implementation effort, followed by ongoing operations, maintenance, and enhancement activities.

Additional skills for success

  • 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 environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to provide clear guidance to others.

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