Job Title: Senior Data Engineer
Location: Irving, TX
Overview
We’re creating the next generation of convenience, and we know that the best way to do that is with great people. If you get excited about working on challenging problems and owning a solution from concept to implementation, read on.
About the job:
You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day. You will be responsible for designing and implementing data capabilities and solutions that improve customer experience, enable innovative user experiences, and increase store revenue.
Key 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 junior 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.
Basic Qualifications:
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, Spark/Pyspark 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.
Extra Credit:
Experience with Databricks platform.
Experience with CDP platforms like HighTouch.
