Data Engineer

Are you a passionate problem solver with a love for all things data? Do you have a knack for designing and implementing complex data solutions? If so, we have an exciting opportunity for you to join our team at Starbucks as a Data Engineer.As a Data Engineer at Starbucks, you will be responsible for creating and maintaining data pipelines, developing data warehouses, and implementing data-driven solutions to drive business insights. You will work closely with cross-functional teams to gather requirements, design and build data solutions, and ensure data accuracy and integrity.To excel in this role, you must have a strong background in data engineering and experience working with large datasets. You should be proficient in programming languages such as SQL, Python, and Java, and have a good understanding of data modeling and ETL processes. A strong attention to detail and excellent problem-solving skills are also essential in this role.If you are looking for a challenging and rewarding career in a fast-paced and dynamic environment, we would love to hear from you. Join us at Starbucks and be a part of a company that values innovation, diversity, and personal growth.

1. Develop and maintain data pipelines to ensure timely and accurate data flow.
2. Design and implement complex data solutions to support business needs.
3. Collaborate with cross-functional teams to gather requirements and understand data needs.
4. Build and maintain data warehouses to store and organize large datasets.
5. Ensure data accuracy and integrity through regular data quality checks and troubleshooting.
6. Develop and implement data-driven solutions to provide business insights and support decision making.
7. Utilize programming languages such as SQL, Python, and Java to manipulate and analyze data.
8. Identify and resolve data-related issues and troubleshoot technical problems.
9. Keep up-to-date with industry trends and advancements in data engineering to constantly improve processes and solutions.
10. Work with data security teams to ensure compliance with data privacy regulations.
11. Communicate and present complex data solutions and insights to stakeholders in a clear and concise manner.
12. Collaborate with other data engineers and team members to share knowledge and best practices.
13. Participate in code reviews and contribute to the development of data engineering standards.
14. Continuously monitor and optimize data solutions to improve performance and efficiency.
15. Demonstrate a strong attention to detail and ensure data accuracy and consistency.
16. Actively seek opportunities to innovate and improve data processes and systems.
17. Contribute to a positive and collaborative team culture that values diversity and personal growth.
18. Adhere to company policies and procedures, including data governance and security protocols.
19. Meet project deadlines and deliver high-quality data solutions in a fast-paced environment.
20. Continuously strive to enhance skills and knowledge in data engineering and related technologies.

According to JobzMall, the average salary range for a Data Engineer in Seattle, WA, USA is approximately $104,000 to $150,000 per year. This can vary based on factors such as experience, education, and the specific company or industry. Some Data Engineers in Seattle may earn even higher salaries, exceeding $200,000 per year.

Starbucks Corporation is an American coffee company and coffeehouse chain. Starbucks Corp. engages in the manufacture and sale of coffee and tea. It operates through the following segments: Americas; Europe, Middle East, and Africa; China/Asia Pacific; and Channel Development. Its brand portfolio includes Starbucks Coffee, Seattle's Best Coffee, Tazo Tea, Evolution Fresh, La Boulange, and Torrefazione Italia Coffee.