QuickSight Analytics Engineer

Position Summary Data Engineer II supports the design, development, and deployment of scalable data solutions that enable business insights and operational efficiency. This role works across the data lifecycle to build pipelines, structure data assets, and improve data quality in support of business and client needs. The ideal candidate brings hands-on engineering experience, strong technical execution, and the ability to work across multiple priorities in a fast-paced environment. This is a hands-on role requiring strong Amazon QuickSight experience, Python expertise, analytical problem-solving skills, and the ability to work across the full business intelligence delivery lifecycle.Work you'll doAs a Data Engineer II on the Data Engineering team, you will help design, build, deploy, and maintain data-driven reporting and dashboard solutions that enable informed client decision-making.Analyze the client’s existing data environment, reporting processes, and Python code to understand current capabilities, constraints, and opportunities for improvement.Gather and translate business and technical requirements into scalable dashboards, reports, data models, and reporting solutions.Design, build, and implement interactive dashboards and visualizations using Amazon QuickSight.Develop reporting logic, calculations, metrics, filters, parameters, and business rules to support accurate and actionable insights.Use Python to analyze client data, evaluate existing code, support data preparation, and automate or enhance reporting processes where appropriate.Integrate, transform, and model data from multiple sources to create reliable datasets for analytics and reporting.A successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to othersThe teamOur Data Engineering team helps build and modernize data platforms that support analytics, reporting, and business decision-making across complex environments. The team works with stakeholders across technology and business functions to develop scalable, secure, and maintainable data solutions. This section is placeholder content and should be reviewed for alignment to the specific practice, offering, or business area.QualificationsRequired:Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field3+ experience in Python, including the ability to analyze the client’s existing environment, review and understand Python code, support data preparation, and develop automation or reporting enhancements.1+ experience designing, developing, and implementing interactive dashboards and visualizations using Amazon QuickSight.1+ experience 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 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:Master’s degree in Computer Science, Information Systems, Engineering, or a related fieldExperience developing reporting logic, calculated fields, metrics, filters, parameters, controls, and business rules in support of accurate and actionable reporting.Experience integrating, transforming, and modeling data from multiple sources to create reliable, reusable datasets for analytics and reporting.Ability to assess existing reporting processes and technical solutions, identify gaps and constraints, and recommend practical improvementsWillingness and ability to support a heavy build and implementation effort followed by ongoing operations, maintenance, and enhancement activities.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 $84,400 to $140,600.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. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. BenefitsAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 368847 Job ID 368847 Data and Analytics | Data EngineeringSame job available in 3 locations