Data Engineer III

Department Overview

McDonald’s Global Technology – Data & Analytics team is looking to hire a Data Engineer who has a deep understanding of Data Product / Data Application Lifecycle, Standards and Practices. You will be responsible for building scalable and efficient data solutions to support the company's data products and analytics initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Your expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role in delivering high-quality data products and enabling data-driven decision-making.

Duties

• Builds and maintains relevant and reliable data products that support the business needs. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
• Participates in new software development engineering. Helps to define business rules that determines the quality of data, assists the product owner in writing test scripts that validates business rules, and performs detailed and rigorous testing to ensure data quality
• Develops a solid understanding of the technical details of data domains, and clearly understands what business problems are being solved
• Designing and developing data pipelines and ETL/ELT processes from various sources into GCP / AWS data solutions (e.g., Big Query, S3, Redshift, Glue).
• Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing. 
• Collaborating with data scientists and analysts to understand data requirements and ensure data accuracy, integrity, and availability. 
• Building and optimizing data integration workflows to connect data from different systems and platforms. 
• Monitoring and troubleshooting data pipelines, identifying and resolving performance issues and bottlenecks. 
• Ensuring data security and compliance with data governance policies and regulations. 
• Managing data infrastructure on GCP / AWS, including capacity planning, cost optimization, and resource allocation. 
• Designing and developing web-based data collection / visualization applications
• Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to improve data systems and processes. 
• Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference. 
• Strong problem-solving skills, attention to detail, and ability to work independently as well as collaboratively within a team.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. For instance, early morning/late evening hours to coordinate with teams in India

Qualifications

• Bachelor's or Master's degree in Computer Science or related engineering field and deep experience with AWS infrastructure
• Strong experience in data engineering, specifically with GCP and AWS techstacks
• Proficiency in programming languages commonly used in data engineering, such as Python.
• Knowledge of cloud platforms, preferably GCP and AWS.
• Hands-on experience with big data processing frameworks, such as Apache Spark.
• Hands-on experience with data modeling, ETL/ELT development, and data integration techniques.
• Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
• Solid understanding of SQL and database concepts.
• Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
• Expert Knowledge of data, master data and metadata related standards, processes and technology
• Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
• Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
• Demonstrated experience in data management & data governance capabilities
• Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions).
• Comfortable working in Agile/Scrum environments, including participating in sprint planning, stand-ups, and retrospectives.
• Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
• Excellent communication and collaboration skills to work effectively in cross-functional teams.

Preferred Requirements:

• Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
• Experience with Agile project management methods and terminology a plus
• Experience with Prometheus, Grafana
• Proficiency in SQL and working with Oracle databases, including stored procedures and query optimization.
• Experience with Micro frontend development
• Familiarity with data warehousing principles and best practices.
• Familiarity with non-RESTful web API patterns and experience working with browser-based API calls.
• Strong understanding of object-oriented programming (OOP) and ability to apply design patterns such as MVC, MVVM , Dependency Injection, etc.
• Experience with secure coding practices, including input validation, authentication, session management, and protection against common web vulnerabilities (e.g., XSS, SQL Injection).
• Strong JavaScript skills, with hands-on experience in modern frameworks — Vue.js preferred.
• Solid experience with C# and .NET for building scalable backend APIs and services. Java knowledge is a plus, especially in environments involving mixed technology stacks or legacy system integration

Compensation

Bonus Eligible: Yes

Long - Term Incentive: Yes

Benefits Eligible: Yes

Salary Range

Salary Ranges-$129,800 - $165,490 

Competencies