Lead DevOps Data Engineer

Job Description:
• Lead the design, development, and implementation of robust, scalable, and secure data pipelines and data warehouses using cloud-native services and PostgreSQL.
• Drive the adoption and implementation of DevOps principles and practices (CI/CD, infrastructure as code, automated testing, monitoring) across data engineering initiatives.
• Mentor and guide a team of data engineers, fostering their technical growth and ensuring adherence to engineering best practices and architectural standards.
• Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and translate them into efficient and effective data solutions.
• Help teams to optimize and maintain queries essential in data pipelines, reporting, and analytics.
• Troubleshoot and resolve complex data-related issues, optimizing performance and ensuring data integrity.
• Evaluate and recommend new technologies and tools to enhance our data platform capabilities and operational efficiency.
• Develop and maintain comprehensive documentation for data architecture, pipelines, and operational procedures.
• Participate in on-call rotations as needed to support critical data infrastructure.

Requirements:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field; Master's degree preferred.
• 7+ years of experience in data engineering, with at least 3 years in a lead or senior role focusing on DevOps practices.
• Proven expertise in designing and building large-scale data pipelines using ETL/ELT tools and techniques utilizing PostgreSQL.
• Expertise in scripting languages such as Python or Java, and strong SQL skills.
• Solid experience with Infrastructure as Code (IaC) tools like Terraform.
• Demonstrated experience with CI/CD pipelines (e.g. Github actions, Airflow, PySpark) for data solutions.
• Experience with containerization technologies (Docker, Kubernetes).
• Strong understanding of data warehousing concepts, dimensional modeling, and data lake architectures.
• Excellent leadership, communication, and interpersonal skills with the ability to mentor and guide technical teams.
• Ability to work effectively in a fast-paced, collaborative, and agile environment.

Benefits:
• 401k Matching Program
• Professional Development Reimbursement
• Flexible Personal/Vacation Time Off
• Sick Leave
• Paid Holidays
• Medical, Dental, Vision
• Employee Assistance Program
• Parental Leave
• Discounts on fitness clubs, travel, and more!