Senior Data Engineer

Job Duties and Responsibilities:

· Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.

· Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.

· Lead and mentor a team of 2-5 data engineers, providing guidance on technical best practices, career development, and initiative execution.

· Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.

· Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.

· Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.

· Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.

Qualifications and Requirements:

· Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.

· Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.

· Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,).

· Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.

· Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).

· Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.

· Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.

Nice to have:

· Agile experience

· Dataiku

· Power BI

*Role is not eligible for sponsorship.

If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.