Senior Data Engineer - Data warehousing/Python/AI

DTCC • Tampa, FL

2d • Hybrid

About The Position

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

As a Senior Software Engineer within Enterprise Cloud Services, you will design, build, and support enterprise data platforms that power analytics, regulatory reporting, business intelligence, and operational decision-making across the organization.

You will partner with business stakeholders, architects, and engineering teams to deliver scalable, high-performing data solutions while driving innovation through data architecture, automation, advanced analytics, and emerging AI technologies.

Requirements

• Bachelor’s degree preferred or equivalent practical experience.
• 6–8+ years of hands-on experience in software engineering, data engineering, database engineering, or enterprise data platform development.
• Strong experience with data warehousing, OLTP systems, business intelligence, and enterprise data solutions.
• Advanced SQL development skills, including stored procedures, functions, views, performance tuning, and query optimization.
• Hands-on experience with conceptual, logical, and physical data modeling.
• Experience developing automation and data processing solutions using Python and Shell scripting.
• Experience supporting production applications, including incident management, troubleshooting, and root cause analysis.
• Strong understanding of data architecture, database design, data quality, and enterprise data management.
• Ability to effectively partner with business stakeholders, architects, and engineering teams to deliver scalable technology solutions.

Nice To Haves

• Experience within financial services, capital markets, trade repositories, regulatory reporting, or other highly regulated industries.
• Knowledge of data governance, metadata management, data lineage, and data quality frameworks.
• Experience with cloud-based data platforms and modern analytics technologies.
• Exposure to AI, Generative AI, Agentic AI, Large Language Models (LLMs), and AI-enabled engineering tools.
• Experience using Microsoft Copilot, GitHub Copilot, Kiro, or similar AI productivity tools.
• Understanding of intelligent automation and AI-driven workflow design.

Responsibilities

• Design, develop, and support enterprise data solutions across OLTP, data warehousing, reporting, and analytics platforms.
• Partner with business and technology stakeholders to identify, prioritize, and deliver data-driven solutions that support strategic business objectives.
• Develop and optimize database objects, including tables, views, stored procedures, and functions.
• Create conceptual, logical, and physical data models supporting enterprise data initiatives and ECS Trade Repository platforms.
• Develop and automate data processing workflows using Python, Perl, and Shell scripting.
• Provide Level 3 production support, including incident triage, troubleshooting, root cause analysis, and issue resolution.
• Improve data quality, platform performance, reliability, and operational efficiency through automation and continuous improvement initiatives.
• Collaborate across architecture, engineering, and business teams to ensure solutions are scalable, secure, and aligned with enterprise standards.
• Leverage AI, Generative AI, Agentic AI, Microsoft Copilot, GitHub Copilot, Kiro, and LLM-based tools to enhance development, automation, analytics, and knowledge discovery.
• Incorporate risk and control practices into day-to-day responsibilities, proactively identifying and mitigating operational risk.

Benefits

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree