Data Engineer

About The Job This position is located at our Birmingham, AL Home Office. Role Summary Books-A-Million, one of the nation’s leading book retailers, headquartered in Birmingham, is seeking a skilled Data Engineer to support a major digital transformation initiative focused on building a modern, enterprise-grade data lakehouse. This role will design, develop, and maintain scalable data pipelines and architecture, ensuring data integrity, reliability, and performance to support advanced analytics and future data science efforts. The ideal candidate thrives in greenfield environments and is passionate about building high-quality, scalable data systems; experience with data science concepts is a plus. Role Responsibilities Digital Transformation & Data Architecture Support Books-A-Million’s enterprise digital transformation initiative Design and build a modern, enterprise-grade data lakehouse architecture Establish scalable, foundational data infrastructure in a greenfield environment Data Engineering & Pipeline Development Develop, deploy, and maintain robust, scalable data pipelines Implement optimized data storage solutions Ensure efficient data ingestion, transformation, and integration processes. Data Quality, Governance & Performance Ensure data integrity, reliability, and system performance Maintain high standards for data quality and consistency Support sustainable, scalable data operations Analytics & Advanced Capabilities Enablement Build infrastructure to support advanced analytics and future data science initiatives Collaborate with Data & Analytics teams to enable reporting and insights Contribute to expanding enterprise data capabilities Innovation & Continuous Improvement Thrive in build-from-scratch environments Identify opportunities to improve scalability and system efficiency Apply forward-thinking, problem‑solving approaches to data system design Role Qualifications Bachelor’s degree in computer science, Engineering, or a related technical field or appropriate experience. Proven experience as a Data Engineer, ETL Developer, or in a similar role. Strong programming skills in a language such as Python, Java, or Scala. Proficiency in SQL and experience with relational and non-relational databases. Hands‑on experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery). Experience with data pipeline and workflow orchestration tools (e.g., Airflow, Prefect, Dagster, Fivetran). Familiarity with data modeling concepts and best practices. A huge plus: Experience or knowledge in data science, machine learning, or statistical modeling. Strong problem‑solving skills and the ability to work independently and as part of a team. The Perks At Books-A-Million, we believe in taking care of our employees. As part of the team, you’ll enjoy a comprehensive benefits package, including: Competitive Compensation: We offer competitive pay and performance‑based incentives. Health & Wellness: Medical, dental, and vision insurance to keep you healthy. Paid Time Off (PTO): Enjoy generous PTO and paid holidays. Employee Discounts: Get discounts on books and other products across our stores. Retirement Savings: Build your future with our 401(k) plan and company contributions. Equal Employment Opportunity (EEO) Statement Books-A-Million is an equal opportunity employer committed to fostering a diverse, inclusive, and welcoming workplace. We celebrate and embrace differences, and we strive to create an environment where every individual feels valued and empowered. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to their background or personal characteristics. We are dedicated to creating a culture of respect, equity, and opportunity for all employees, and we encourage individuals from all backgrounds to apply. #J-18808-Ljbffr