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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Mastercard - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $132,000.0 - $212,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Data Analysis, Big Data, Code Review, Cyber Security, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Design, Microsoft SQL Server, Productivity Software, SQL Databases, Data Processing, GitHub Copilot, Apache Spark, Software Version Control, Databricks - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/C83A0A4B0E02453C9D987D99FEAA0EBB/job/ ## About the Role * Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions. * Proven self-motivated professional with experience working on collaborative teams * Expertise writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently. * Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies. * Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines. * Experience with Databricks and Spark is a plus, but not required. * Demonstrate curiosity about emerging developer productivity tools (e.g., GitHub Copilot); prior experience is not required, but a willingness to learn and experiment is highly valued. * Demonstrate skills in the ability to innovate, think critically and disaggregate problems. * Able to manage multiple projects and differing project priorities. Able to provide oversight, validation, and quality control to team's work product. * Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders. * Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered. This role is not eligible for Mastercard's work authorization sponsorship. Candidates must be authorized to work in the United States now and in the future without employer sponsorship. ## Description * Independently lead parallel projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base. * Act as an expert technical resource within the team and region * Deliver on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors. * Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets. * Partner with analytics and business stakeholders to understand business questions and translate them into data requirements. * Leverage industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes. * Implement best practices and design streamlined processes to automate routine data tasks. * Collaborate with and support junior Data Engineers, ensuring efficient execution of their tasks while providing mentorship and guidance. * Build trust-based working relationships with peers and clients across local and global teams. * Comply and uphold all Mastercard internal policies and external regulations., All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)