CrawlJobs Logo

Senior Lead Data Engineer (Bank Tech)

United States, Wilmington Employment contract · Job Posted May 29, 2026
Apply Position
Job Link Share

Job Description

Senior Lead Data Engineer (Bank Tech) - Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Senior LeadData Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the team: The Bank Tech Data, Decisioning, & Market Services Domain serves as the analytical engine of the bank, building the infrastructure that turns data into smart, fast decisions. We integrate data and AI capabilities into a single, cohesive platform that supports our business and capital market teams. Our focus is on creating a modern data architecture that allows us to leverage information responsibly, providing the predictive insights needed to deliver better outcomes for our clients. Looking ahead, our imperatives are centered on evolving our predictive insights and scaling our AI-driven decisioning models.

Job Responsibility

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Python and Java and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Requirements

  • Bachelor’s Degree
  • At least 6 years of experience in application development
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice to have

  • Master's Degree
  • 9+ years of experience in application development including Python, SQL, or Java
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

What we offer

  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Lead Data Engineer (Bank Tech)

8 matching positions

Senior Business Data Analyst

This role is within enterprise data office and product solution team; focused on...
Location
Location
Canada , Mississauga
Salary
Salary:
111600.00 - 161600.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance
  • Preferably Engineering Graduate with Post Graduation in Finance
  • Extensive experience in the capital markets business and processes
  • Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.)
  • Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
  • Experience with data management processes and tools and applications, including process mapping and lineage toolsets
  • Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
  • Strong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools
  • Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment
  • Demonstrated stakeholder management skills
Job Responsibility
Job Responsibility
  • Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs
  • Understand Derivatives data flows within CITI for Equities, FX, IRS, Fixed Income, Commodities etc.
  • Data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues
  • Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
  • Document current and target states data mapping and produce gap assessment
  • Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
  • Identify appropriate strategic source for critical data elements
  • Design and Implement data governance controls including data quality rules and data reconciliation
  • Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
  • Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - Risk

Our mission is to build the intelligent, automated systems and operational tools...
Location
Location
United States; Canada , San Francisco; New York; Portland
Salary
Salary:
239000.00 - 298800.00 USD / Year
mercury.com Logo
Mercury
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of software development experience
  • 3–5+ years of engineering management in a high-scale tech environment
  • AI/ML expertise—you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
  • Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
  • Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
  • A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
  • Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
  • The ability to hire, retain, and develop exceptional technical talent
  • A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last
Job Responsibility
Job Responsibility
  • Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
  • Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
  • Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
  • Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
  • Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
  • Build, mentor, and grow engineering talent
  • help managers and senior engineers level up technically and organizationally
  • Drive clarity amid complexity: translating between regulatory nuance and technical execution
  • Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant
What we offer
What we offer
  • base salary
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
  • Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
  • Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
  • Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
  • Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
  • Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
  • Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
  • Strong communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
  • Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
  • Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
  • Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
  • Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
  • Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
  • Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
  • Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
  • Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides
  • Fulltime
Read More
Arrow Right

Technology Strategy Manager

Optiver’s technology teams build and run the systems that power our trading ever...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
optiver.com Logo
Optiver
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Analytical and data-driven: you can find insight in complexity and separate the signal from the noise
  • Conceptual and strategic: you see the system, not just the symptom – distilling complex dynamics into clear, actional insights
  • Comfortable with ambiguity: You thrive in ambiguous, high-stakes problem spaces with incomplete information
  • Strong communicator: clear, concise, assertive when needed
  • confident across written, verbal and boardroom settings. You’re comfortable challenging senior stakeholders with well-reasoned perspectives.
  • Experience that helps: Management consulting, technology or trading background
  • 5+ years of experience in a fast-moving, high-performance environment, e.g., Tier 1 consulting (MBB), Tier 1 investment banking (Goldman, JPM) or leading PE firms
Job Responsibility
Job Responsibility
  • Drive firm-wide tech strategy initiatives from framing to executive decision across a broad range of topics such as: location strategy for tech teams
  • org design for scaling engineering
  • approach to driving AI adoption across tech teams
  • Support senior tech leadership in the preparation of and delivery of board and executive-level materials
  • Organize and lead cross-functional problem-solving efforts with senior engineers, tech leaders, traders
  • Work closely with the Tech COO and leads in the CTO Office to deliver against current priorities across Tech PMO, Tech Risk Management, Tech Finance, Tech Talent and Innovation
  • Act as a strategic sparring partner to global Tech Leads
What we offer
What we offer
  • A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
  • The opportunity to work alongside best-in-class professionals from over 50 different countries.
  • 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
  • Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
  • Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
  • Training and continuous learning opportunities, including access to conferences and tech events.
  • Competitive relocation packages and visa sponsorship where necessary for expats.
Read More
Arrow Right

Data Governance Senior Lead Analyst

The Data Governance Foundation Sr Lead Analyst is responsible for leading activi...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Management/ Process Engineering or related area
  • Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • able to drive consensus, and influence relationships at all levels
  • Collaborates effectively by building partnerships and working well with others to meet shared objectives
  • Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
  • Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
  • Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
  • Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms
  • Strong knowledge of data governance models and operating models within complex organizations.
  • Perform deep‑dive data analysis using spreadsheets and reporting tools to identify trends, root causes, systemic issues, and recurring risks across data controls and governance metrics.
Job Responsibility
Job Responsibility
  • Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
  • Lead business analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions
  • Contribute to the establishment of Data Governance and/or Data Risk and Controls standards in alignment with Enterprise Chief Data Office, and ensure proper documentation of processes
  • Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
  • Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
  • Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
  • Capture requirements, develops delivery plans and manages the entire lifecycle of metrics and report production
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Lead enterprise data concern remediation frameworks, establishing clear oversight, escalation, and accountability models across multiple data governance pillars (e.g., quality, lineage, privacy, retention).
  • Partner with business, technology, and data teams to reimagine how governance is designed, communicated, and adopted.
  • Fulltime
Read More
Arrow Right

Data Governance Senior Lead Analyst

The Data Governance Foundation Sr Lead Analyst is responsible for leading activi...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Management/ Process Engineering or related area
  • Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • able to drive consensus, and influence relationships at all levels
  • Collaborates effectively by building partnerships and working well with others to meet shared objectives
  • Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
  • Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
  • Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
  • Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms
  • Strong knowledge of data governance models and operating models within complex organizations.
  • Solid understanding of AI concepts, AI tools, and practical applications, with the ability to apply them to governance and reporting use cases.
Job Responsibility
Job Responsibility
  • Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
  • Lead business analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions
  • Contribute to the establishment of Data Governance and/or Data Risk and Controls standards in alignment with Enterprise Chief Data Office, and ensure proper documentation of processes
  • Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
  • Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
  • Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
  • Capture requirements, develops delivery plans and manages the entire lifecycle of metrics and report production
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Drive modern data governance operating and governance models, translating strategy into practical, scalable execution.
  • Partner with business, technology, and data teams to reimagine how governance is designed, communicated, and adopted.
  • Fulltime
Read More
Arrow Right

Apps Dev Tech Sr Lead Analyst Java SVP

Apps Dev Tech Sr Lead Analyst Java SVP at Citi. Own and drive end-to-end migrati...
Location
Location
India , Chennai, Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
  • 12–16 years of progressive software engineering experience, with at least 5 years in a senior technical leadership role (Tech Lead, Staff Engineer, principle)
  • Demonstrated experience leading or significantly contributing to at least one large-scale Mainframe modernisation or legacy platform migration programme
  • Prior experience in financial services, banking, or a similarly regulated industry strongly preferred
  • Java 17/21 (Expert), Python, COBOL / JCL (reading & assessment level)
  • Spring Boot, Spring Cloud, Spring Security, Spring Data JPA, Project Reactor / WebFlux
  • OpenShift, Kubernetes, Docker, Helm
  • Tekton, Harness, Jenkins, Git (Bitbucket / GitHub), Artifactory, SonarQube
  • Oracle, MongoDB, PostgreSQL, MS SQL Server, Redis, DB2/z
  • Apache Kafka, IBM MQ
Job Responsibility
Job Responsibility
  • Own and drive end-to-end migration of legacy Mainframe workloads (COBOL, JCL, CICS, IMS, DB2/z) to modern Java-based microservices deployed on enterprise container platforms (OpenShift / Kubernetes)
  • Conduct application assessments to identify migration candidates, define target-state architectures, and produce sequenced migration roadmaps with risk registers and rollback plans
  • Establish reusable migration patterns, tooling, and runbooks to accelerate successive migration waves
  • Leverage AI-assisted code translation tools (e.g., autonomous AI coding agents such as Devin) to automate COBOL-to-Java conversion at scale, with human-in-the-loop review gates
  • Validate functional parity post-migration through automated testing strategies (unit, integration, regression, performance)
  • Identify and quantify cost-reduction opportunities across MIPS consumption, software licensing, infrastructure footprint, and operational overhead
  • Build and maintain a technology cost model
  • track savings realisation against committed targets on a monthly cadence
  • Drive rationalisation of redundant systems, decommission end-of-life platforms, and consolidate tooling to reduce Total Cost of Ownership (TCO)
  • Partner with Finance and Vendor Management to renegotiate contracts and optimise spend through right-sizing, reserved capacity, and FinOps practices
  • Fulltime
Read More
Arrow Right

Java Engineering Manager, Cloud Native & AI Development - Senior Vice President

Own and drive end-to-end migration of legacy Mainframe workloads (COBOL, JCL, CI...
Location
Location
India , Pune, Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
  • 13–18+ years of progressive software engineering experience, with at least 5-8 years in a senior technical leadership role (Tech Lead, Staff Engineer, principle)
  • Demonstrated experience leading or significantly contributing to at least one large-scale Mainframe modernization or legacy platform migration programme
  • Prior experience in financial services, banking, or a similarly regulated industry strongly preferred
  • Java 17/21 (Expert), Python, COBOL / JCL (reading & assessment level)
  • Spring Boot, Spring Cloud, Spring Security, Spring Data JPA, Project Reactor / WebFlux
  • OpenShift, Kubernetes, Docker, Helm
  • Tekton, Harness, Jenkins, Git (Bitbucket / GitHub), Artifactory, SonarQube
  • Oracle, MongoDB, PostgreSQL, MS SQL Server, Redis, DB2/z
  • Apache Kafka, IBM MQ
Job Responsibility
Job Responsibility
  • Mainframe Modernisation & Platform Transformation
  • Technology Operating Cost Reduction
  • Hands-On Engineering & Technical Leadership
  • Generative AI & Agentic Development
  • People Leadership & Stakeholder Management
  • Fulltime
Read More
Arrow Right