CrawlJobs Logo

Lead Data Engineer, Bank Tech

capitalone.com Logo

Capital One

Location Icon

Location:
United States , Wilmington

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

179400.00 - 204700.00 USD / Year

Job Description:

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 Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Job Responsibility:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Java, Scala, Python 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 4 years of experience in application development (Internship experience does not apply)
  • 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:

  • 7+ years of experience in application development including Python, SQL, Scala, or Java
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 4+ 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
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 that support your total well-being

Additional Information:

Job Posted:
February 06, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead Data Engineer, Bank Tech

Head of Applied AI Engineering – Investment Banking

Engineer the future of global finance. At Citi, our Tech team doesn’t just suppo...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant proven data science / AI engineering experience, with multiple years leading teams 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, especially with senior bankers and C-level executives
Job Responsibility
Job Responsibility
  • Strategic AI Leadership – Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture
  • AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories
  • Data Strategy – Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams
  • Productization & Delivery – Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants
  • Governance & Compliance – Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance
  • Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment
What we offer
What we offer
  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right

Director Data Engineering - Bank Tech

Capital One is seeking a Director, Data Engineering who is equal parts visionary...
Location
Location
United States , Wilmington; McLean; Philadelphia
Salary
Salary:
244700.00 - 307200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree
  • At least 7 years of experience in software engineering or data engineering
  • At least 5 years of people management experience
  • At least 3 years of experience with Big Data and data streaming
  • At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
Job Responsibility
Job Responsibility
  • Lead, manage, and grow multiple teams of product focused software & data engineers
  • Embrace and incubate emerging technology and open-source products across all platforms
  • Work to modernize our existing tech stacks and data platforms
  • Collaborate with internal teams to find areas of opportunities for automation and machine learning
  • Partner with architects, product owners, data professionals, and software & data engineers to drive the implementation of new applications
  • Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies
  • Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications
  • Conduct design and code review to ensure compliance with standards
What we offer
What we offer
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Fulltime
Read More
Arrow Right

Distinguished Data Engineer- Bank Tech

Distinguished Data Engineers are individual contributors who strive to be divers...
Location
Location
United States , Wilmington; Richmond; Philadelphia; McLean
Salary
Salary:
239900.00 - 301200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree
  • At least 7 years of experience in data engineering
  • At least 3 years of experience in data architecture
  • At least 2 years of experience building applications in AWS
Job Responsibility
Job Responsibility
  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
  • Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed
  • leverage expertise to grow skills in the broader Capital One team
  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
  • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
What we offer
What we offer
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Fulltime
Read More
Arrow Right
New

Senior Big Data Engineer

The Senior Big Data Engineer is a hands on seasoned professional role. Applies i...
Location
Location
United States , Irving
Salary
Salary:
96400.00 - 144600.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
May 10, 2026
Flip Icon
Requirements
Requirements
  • 5+ years experience working in Hadoop ecosystem with solid knowledge of Pyspark, Python etc.
  • Knowledge of Snowflake, AWS and Databricks is a plus
  • Ability to effectively use complex analytical, interpretive and problem solving techniques
  • Demonstrated interpersonal, verbal and written communication skills
  • Bachelor's/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Build Data Engineering pipelines with Big Data Hadoop Tech Stack and other Data Engineering technology like Snowflake, Databricks
  • Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows
  • Coordinates and contribute to the objectives of Data Engineering initiatives and overall business
  • Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services
  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays
  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality
  • Delivers analytics initiatives to address business problems
  • Consults with business clients to identify system functional specifications
  • Consults with users and clients to solve complex system issues/problems
  • Leads system change process from requirements through implementation
What we offer
What we offer
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • Fulltime
Read More
Arrow Right

Analytics Engineer, Credit Risk

KOHO is looking for an Analytics Engineer, Credit Risk, to build and scale robus...
Location
Location
Canada
Salary
Salary:
100000.00 - 135000.00 CAD / Year
koho.ca Logo
KOHO
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in analytics engineering, data engineering, or similar data roles
  • Advanced DBT expertise: Comfortable with complex DBT projects, various materializations, such as incremental, table, view, etc. Familiar with snapshots, variables, macros, and Jinja.
  • Strong SQL skills with a focus on query optimization and performance
  • Experience with modern data stack: DBT Core and/orDBT Cloud, Git. A plus if experience with Redshift.
  • Collaborative mindset: You thrive working alongside analysts, PMs, and engineers to translate business requirements into technical solutions
  • Strong communicator: You adapt communication to different audiences and connect technical work to reporting outcomes
  • Proactive problem-solver: You identify opportunities for improvement and take initiative without waiting to be asked
  • AI-curious: Experience or strong interest in leveraging AI tools for development workflows. Strong foundations of AI-assisted development are a plus.
Job Responsibility
Job Responsibility
  • Lead complex financial pipeline builds: Design and develop scalable data pipelines supporting banking processes, from scoping through delivery
  • Collaborate cross-functionally: Partner with Credit, Payment Operations, Tech, Security, Risk, and Finance teams to define data requirements
  • Build credit reporting infrastructure: Create reliable, performant operational data models that power internal and external reporting, audits, and money movements.
  • Design scalable data models: Apply modelling frameworks (one big table, entity tables, event streams, Kimball) tailored to credit reporting use cases
  • Optimize and monitor: Maintain pipeline health, optimize query performance, and implement data quality monitoring
  • Enable the team: Document solutions, establish best practices, and help upskill fellow Analytics Engineers and Analysts
  • Integrate cross-functional data: Work across domain boundaries to unify financial data into cohesive reporting structures
What we offer
What we offer
  • Competitive compensation & equity
  • Fantastic, Deeply Engaged Team
  • Generous vacation + Wellness days + Flex Days + holiday closure
  • Remote-first environment + coworking support + yearly all hands retreat
  • Access to coaching & growth programs
  • Parental top-up & leave policies
  • Comprehensive health benefits
  • Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development
  • Fulltime
Read More
Arrow Right

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

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

Senior Strategy Manager

Fever is a leading tech platform for culture and live entertainment, aiming to d...
Location
Location
Argentina , Buenos Aires
Salary
Salary:
Not provided
https://feverup.com/fe Logo
Fever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You have a bachelor's in engineering (civil, industrial, telecommunications, or aeronautics) or a background in maths, statistics, data analytics, or strategy
  • At least +8 years experience in a business analytics role and proven to have managed teams
  • A high level of English
  • Spanish is a plus
  • Experience working with the North American market is a plus
  • Experience in strategy consulting, investment banking, and strategy or analytics roles at top tech firms is a significant advantage
  • Data-driven person who brings numbers to strategic and business decisions
  • Generate high business impact based on your decisions
  • Excellent interpersonal skills with a proven ability to manage and influence multiple stakeholders while working effectively across teams, disciplines, and business cases
  • Understanding any coding language is preferred (SQL, R, Python…)
Job Responsibility
Job Responsibility
  • You will lead the Argentina Headquarters and focus on the American markets
  • You will create and develop a whole team of growth that will support the business in the region
  • Fully owning the results, evolution, goals, and strategic decisions within a specific business line
  • Take part in the exponential growth of Fever by taking the lead on global projects that will define the future of the entertainment industry
  • Enhance the overall company performance across different business departments
  • Define and establish new strategies to increase performance using analytical, business, and strategic skills
  • Design end-to-end solutions with daily high impact
What we offer
What we offer
  • Have a real impact on the company's growth and evolution
  • Great work environment with a young, international team of talented people to work with
  • 40% Discount on all events on Fever
  • Health and life insurance
  • Possibility of remote working from home
  • Fulltime
Read More
Arrow Right