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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II - **Company:** Deloitte T.T.L. - **Location:** United States - **Salary:** $84,400.0 - $140,600.0 - **Contract:** Permanent contract - **Skills:** Information Systems, Data Cleansing, Information Engineering, Data Systems, Python (Programming Language), Information Technology, Data Management, Tools for Reporting - **Published:** September 29, 2026 - **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=368847 ## About the Role * 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, Required: * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field * 3+ 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 field * Experience 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 improvements * Willingness and ability to support a heavy build and implementation effort followed by ongoing operations, maintenance, and enhancement activities. ## Description 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., As 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology)