Lead Data Engineer

Lead Data Engineer

As a Lead Data Engineer you will be responsible for designing, building, and maintaining the data architecture, infrastructure, and systems necessary for collecting, storing, processing, and analyzing large volumes of data. They work with large and complex data sets from various sources, including databases, APIs, and streaming data, to create scalable and reliable pipelines that facilitate data collection, storage, processing, and analysis. They play a crucial role in the data pipeline, ensuring that data is available, accessible, and reliable for data scientists, analysts, and other stakeholders within an organization.

Responsibilities include:

• Design, build, maintain, and manage the systems that move data efficiently within the organization.

• Design and implement ETL pipelines that can extract data from various sources, transform it, and load it into the data warehouse and/or data lake.

• Work collaboratively with cross-functional teams and communicate effectively with technical and non-technical stakeholders to understand data needs.

• Monitor the performance of data pipelines that are efficient and secure.

• May be required to cross train and perform other duties.

• Lead associates in a way that exemplifies the leadership principles taught in Rural King's Thrive Leadership Program.

• Use discretion and independent judgment in daily decisions while maintaining a high level of confidentiality and professionalism.

• Actively participate in learning initiatives offered such as training programs, workshops, and webinars. Leverage these opportunities to acquire new knowledge, refine existing skills, and stay current on the latest developments.

• Provide friendly, proactive, and professional internal and external support to others, assisting with inquiries, concerns, and issues promptly and effectively.

• Demonstrate behaviors that exemplify Rural King's Values: People First, Integrity, Attitude, Initiative, Teamwork, Accountability, and Continuous Improvement.

• Perform other duties as assigned.

Essential Qualities for Success:

• At least 4 years of relevant experience or equivalent combination of experience and education.

• Information Technology Engineering experience preferred.

• Bachelors in computer science, Engineering, or relevant field.

• Experience as a Data Engineer or similar software engineering role.

• Proficient with git.

• Good knowledge of SQL and PHP or similar languages.

• Good knowledge of big data technologies.

• Good knowledge of data modeling.

• Good knowledge of ETL/ELT tools.

• Familiar with Looker, Power BI or other BI tools.

• Working knowledge of databases, MySQL/MariaDB, and SQL.

• Strong understanding of retail business practices.

• Excellent negotiation and conflict resolution skills.

• Demonstrated ability to adapt in a fast-paced environment.

• Strong analytical and problem-solving skills.

• Excellent organizational skills and attention to detail.

• Demonstrated behaviors must reflect integrity, professionalism, and confidentiality.

Physical Requirements:

• Ability to maintain a seated or standing position for extended durations.

• Capability to lift 15 pounds periodically.

• Able to navigate and access all facilities.

• Skill to effectively communicate verbally with others, both in-person and via electronic devices.

• Close vision for computer-related tasks.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

The pay range for this position is $78,000 - $85,000 annualized and is bonus eligible. Exact compensation is determined by factors such as relevant geographic location, education, certifications, experience, job level, shift, and organizational needs.