Auction Edge is the automotive remarketing industry’s leading provider of technology and services to independent auctions, dealers, and corporate remarketers.  With 230 independent auction customers, selling millions of vehicles each year, Auction Edge is uniquely positioned to serve the competitive needs of the independent auction community. To learn more, visit www.auctionedge.com.

We are currently seeking a Data Engineering Supervisor to join our team as a full time hybrid employee in our Franklin, TN office. This position will lead a talented team of data engineers and contribute to the development and maintenance of our data infrastructure. 

Responsibilities: 

• Lead and manage a team of data engineers to design, develop, and maintain scalable and reliable data pipelines, ETL processes, and data storage solutions.
• Provide technical guidance, mentorship, and support to team members, fostering a collaborative and growth-oriented work environment.
• Collaborate with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business objectives.
• Define and implement best practices, standards, and processes for data engineering, ensuring adherence to industry standards and compliance with data governance policies.
• Drive innovation and continuous improvement in data engineering practices, tools, and technologies, staying up-to-date with emerging trends and advancements in the field.
• Manage data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud Platform, optimizing performance, scalability, and cost-efficiency.
• Oversee data modeling, schema design, and data governance initiatives to ensure data quality, integrity, and security.
• Lead troubleshooting efforts and resolve complex technical issues related to data pipelines, data processing, and data quality in a timely manner.
• Collaborate with senior leadership to define data engineering strategy, roadmap, and priorities aligned with business objectives.
• Manage project timelines, budgets, and resource allocation to ensure successful delivery of data engineering projects.
• Other duties as assigned

Qualifications: 

• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 6+ years of experience in data engineering, with at least 2 years of experience in a leadership or managerial role.
• Strong hands-on experience in designing and implementing scalable data pipelines, ETL processes, and data storage solutions.
• Experience with data warehousing and setting up data lake houses using   Databricks or Snowflake.
• Proficiency in cloud-based data platforms such as AWS, Azure, or Google Cloud Platform, with experience in managing data infrastructure on these platforms.
• Excellent programming skills in Python or similar languages for data manipulation, scripting, and automation.
• Solid understanding of data modeling, schema design, and data governance best practices.
• Proven leadership and team management skills, with the ability to inspire, mentor, and develop a high-performing team.
• Strong problem-solving skills and the ability to analyze complex technical issues and provide effective solutions.
• Excellent communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders.
• Demonstrated ability to drive innovation and continuous improvement in data engineering practices and processes.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, etc.
• Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer).
• Experience with AWS Technologies: RDS, Lambda, SNS, SQS, AppSync, EventBridge
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Strong project management skills, with experience in managing complex data engineering projects from conception to completion.

Auction Edge Benefits:

• Medical, Dental, and Vision Insurance coverage
• 401k Retirement Plan
• 20 days of accrued PTO as well as 12 Flex Days per year ( Flex is one three-day weekend per month)
• 8 paid holidays, 2 floating holidays, and 1 paid volunteer day per year
• Up to $100 Monthly Wellbeing Reimbursement Program (gym membership, personal training, massage therapy, therapy apps, and many other options)
• Education Reimbursement Program up to $4,000 per 12-month period
• Focus Fridays