Data Engineer - Remote

Overview

The Data Engineer at Fullbay will serve as a thought leader and mid-senior expert in database engineering, specializing in the design, development, and management of data systems. This role requires deep expertise in database engineering design, problem resolution, staying abreast of industry trends, and emerging technologies. Key responsibilities include building and managing the data infrastructure and transformation backend, integrating technologies such as Snowflake and Redshift, and developing front-end data visualizations with tools like DB Quicksight. The successful candidate will partner with leadership to develop strategies, set directions, and plan and execute database administration priorities focused on security, risk management, scalability, and reliability.

In Short

• Develop and manage the data backend integrating multiple sources such as MySQL DB, Dynamo DB, and S3.
• Design and maintain ETL pipelines to support continuous updates to the backend infrastructure.
• Deliver data visualizations that provide insights, enable reporting, and meet customer needs through APIs and other access patterns.
• Lead incident management, overseeing critical incidents from inception through resolution, including conducting root cause analysis.
• Document new technologies and facilitate knowledge transfer within the team.
• Enhance system security and integrity, aligning with the company’s commitment to risk management by protecting system data and ensuring compliance with enterprise and departmental policies.
• Plan and execute system upgrades, focusing on compute and storage capacity expansion, database hardening, and patching.
• Translate business requirements into technical specifications that ensure data design and system architecture meet service level agreements (SLAs).
• Implement proactive system monitoring and alerting to establish automatic corrective actions.
• Design technical product architecture, handling system installation, configuration, and performance management.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5-10 years of data-related experience, with proficiency in AWS, MySQL, DynamoDB, and Python or Java.
• Expertise in designing, implementing, and supporting systems with clustering, replication, partitioning, encryption, and high availability/disaster recovery.
• Strong background in data management, architecture, and large-scale system implementations.
• Hands-on experience in deploying secure, high-performance database systems.
• Advanced skills in database performance tuning and RDBMS.
• Excellent communication skills with the ability to discuss technical details with various stakeholders.

Benefits

• Mentor and guide other Database Engineers, providing leadership and developmental support.
• Engage with customers and stakeholders to deeply understand requirements and foster partnerships that ensure database services are reliable, performant, and cost-effective.
• Support comprehensive data management, overseeing the entire data lifecycle within a medallion architecture framework to maintain system and data integrity.
• Adheres to all confidentiality and compliance regulations.
• Performs other duties as assigned.