Data Engineer

• Lead the design, development, and maintenance of business-critical data assets, ensuring they are accurate, reliable, and aligned with evolving business priorities
• Drive technical innovation and process excellence, evaluating emerging technologies and implementing scalable, efficient solutions that improve data pipeline performance and reliability
• Tackle complex technical challenges - balancing scalability, security, and performance - while providing clear rationale for architectural decisions and aligning outcomes across teams
• Ensure data pipeline reliability and observability, proactively identifying and resolving issues, investigating anomalies, and improving monitoring to safeguard data integrity
• Build trust and alignment across cross-functional teams through transparent communication, collaborative problem-solving, and a deep understanding of partner needs
• Bring clarity and direction to ambiguity, taking ownership of initiatives that span multiple domains or teams, and providing technical leadership to ensure successful delivery
• Prioritize work strategically, balancing business impact, risk, and execution to drive measurable outcomes that support organizational goals
• Act as a trusted technical advisor and thought leader, shaping the team’s long-term architecture and influencing best practices
• Foster a culture of technical excellence and continuous learning, mentoring engineers and championing modern data engineering practices, including AI and automation-enabled solutions

Staff Data Engineer

Data Architect

Senior Data Engineer, MLOps

Data Engineer – Financial Transactions, Automation

AWS Data Engineer

Senior Data Engineer