19,861 Lead Data Engineer jobs in the United States

ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data migration solutions that align with mission goals and requirements.

Responsibilities include but are not limited to:

• Lead the design, development, and deployment of robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
• Collaborate with cloud and system architects to establish secure and efficient data

ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data migration solutions that align with mission goals and requirements.

Responsibilities include but are not limited to:

• Lead the design, development, and deployment of robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
• Collaborate with cloud and system architects to establish secure and efficient data

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We're seeking a Lead Data Engineer to drive the design, implementation, and optimization of data systems powering our mental well-being initiatives. This role will set technical direction, mentor a multidisciplinary team, and collaborate across engineering, product, and analytics to deliver high-impact solutions at scale.

Key Responsibilities:

• Architect, build, and maintain robust data pipelines and platforms for large-scale, secure, and reliable analytics.

• Lead and mentor data engineers, software engineers, and QA colleagues, fostering a culture of technical excellence and collaboration.

• Partner with product, analytics, and business stakeholders to translate business needs into scalable data solutions.

• Champion best practices in data governance, quality, and security.

• Evaluate and implement emerging technologies to advance our mental well-being mission.

• Contribute to the strategic vision for data engineering within the organization.

Required Qualifications

• 7+ years of experience in data engineering,

• Proven expertise in building and optimizing data pipelines, architectures, and data sets (e.g., Spark, Hadoop, SQL/NoSQL, cloud platforms).

• Strong programming skills (e.g., Python, Scala, Java).

• Experience with data modeling, ETL, and data warehousing.

• Track record of mentoring engineers and leading cross-functional initiatives.

• Excellent communication skills and a collaborative, people-first mindset.

• Hands on experience in designing and building data engineering solutions in cloud environments (preferably GCP)

• Hands-on experience with multiple ML/AI Algorithms

• Familiarity with leveraging AI tools in support of SDLC.

Preferred Qualifications

• Experience in GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer etc.) strongly preferred.

• Experience in healthcare, wellness, or regulated industries.

• Experience in a technical leadership role.

• Familiarity with machine learning pipelines and analytics.

• Passion for advancing mental well-being through technology.

Education

Bachelor's Degree

Pay Range

The typical pay range for this role is:

$118,450.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 10/31/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We're seeking a Lead Data Engineer to drive the design, implementation, and optimization of data systems powering our mental well-being initiatives. This role will set technical direction, mentor a multidisciplinary team, and collaborate across engineering, product, and analytics to deliver high-impact solutions at scale.

Key Responsibilities:

• Architect, build, and maintain robust data pipelines and platforms for large-scale, secure, and reliable analytics.

• Lead and mentor data engineers, software engineers, and QA colleagues, fostering a culture of technical excellence and collaboration.

• Partner with product, analytics, and business stakeholders to translate business needs into scalable data solutions.

• Champion best practices in data governance, quality, and security.

• Evaluate and implement emerging technologies to advance our mental well-being mission.

• Contribute to the strategic vision for data engineering within the organization.

Required Qualifications

• 7+ years of experience in data engineering,

• Proven expertise in building and optimizing data pipelines, architectures, and data sets (e.g., Spark, Hadoop, SQL/NoSQL, cloud platforms).

• Strong programming skills (e.g., Python, Scala, Java).

• Experience with data modeling, ETL, and data warehousing.

• Track record of mentoring engineers and leading cross-functional initiatives.

• Excellent communication skills and a collaborative, people-first mindset.

• Hands on experience in designing and building data engineering solutions in cloud environments (preferably GCP)

• Hands-on experience with multiple ML/AI Algorithms

• Familiarity with leveraging AI tools in support of SDLC.

Preferred Qualifications

• Experience in GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer etc.) strongly preferred.

• Experience in healthcare, wellness, or regulated industries.

• Experience in a technical leadership role.

• Familiarity with machine learning pipelines and analytics.

• Passion for advancing mental well-being through technology.

Education

Bachelor's Degree

Pay Range

The typical pay range for this role is:

$118,450.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 10/31/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

• Design, develop, and maintain scalable data pipelines and architectures to support business analytics and data science initiatives.
• Lead the implementation of data engineering best practices, including data modeling, ETL development, and data quality assurance.
• Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions.
• Optimize data systems for performance, reliability, and scalability.
• Mentor junior data engineers and contribute to team development and technical leadership.
• Ensure data security and compliance with relevant regulations and standards.

• 5+ years of experience in data engineering or software development.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Expertise in SQL and relational/non-relational databases.
• Familiarity with data warehousing solutions and tools like Snowflake, Redshift, or BigQuery.
• Excellent problem-solving skills and ability to work independently and collaboratively.

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• 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 science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.

• Assumes informal/formal leadership role through coaching and training of new recruits.

• Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.

• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.

• Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.

• Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.

• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

• Leads system change process from requirements through implementation; provides user and operational support of application to business users

• Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.

• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

• 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.

Required Skills:

• ETL : 5+ years of Hands on experiencing in building data pipelines using Apache Spark .

• Big Data : Hands on experience of working on "Big Data" platforms such as Hadoop, Hive or Snowflake f or data storage and processing.

• Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

• Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

• Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

• DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Preferred Skills (Nice to Have):

• Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls

• Containerization: Understanding of containerization platforms like Docker, Kubernetes

• File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Iceberg

• Others: Basics of Job scheduler like Autosys. Basics of Entitlement management

• Certification on any of the above topics would be an advantage.

Qualifications:

• 5-8 years of experience implementing data-intensive solutions using agile methodologies.

• Experience of modelling data for analytical consumers

• Ability to automate and streamline the build, test and deployment of data pipelines

• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

• Excellent communication and problem-solving skills

Education:

• Bachelor's/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Technology

Job Family:

Data Analytics

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$96,400.00 - $144,600.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

Big Data, Cloud Technology, Java, Python (Programming Language), Scala (Programming Language).

Anticipated Posting Close Date:

Sep 04, 2025

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi ( .

View Citi's EEO Policy Statement ( and the Know Your Rights ( poster.

Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• 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 science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.

• Assumes informal/formal leadership role through coaching and training of new recruits.

• Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.

• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.

• Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.

• Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.

• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

• Leads system change process from requirements through implementation; provides user and operational support of application to business users

• Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.

• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

• 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.

Required Skills:

• ETL : 5+ years of Hands on experiencing in building data pipelines using Apache Spark .

• Big Data : Hands on experience of working on "Big Data" platforms such as Hadoop, Hive or Snowflake f or data storage and processing.

• Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

• Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

• Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

• DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Preferred Skills (Nice to Have):

• Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls

• Containerization: Understanding of containerization platforms like Docker, Kubernetes

• File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Iceberg

• Others: Basics of Job scheduler like Autosys. Basics of Entitlement management

• Certification on any of the above topics would be an advantage.

Qualifications:

• 5-8 years of experience implementing data-intensive solutions using agile methodologies.

• Experience of modelling data for analytical consumers

• Ability to automate and streamline the build, test and deployment of data pipelines

• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

• Excellent communication and problem-solving skills

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

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Job Family:

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Time Type:

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Primary Location:

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Primary Location Full Time Salary Range:

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

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Other Relevant Skills

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Anticipated Posting Close Date:

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

• English
• Google Cloud Platform
• SQL
• Aviation

Lead, Data Engineer 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. What You'll Do: 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 Basic Qualifications: 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) Preferred Qualifications: 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 At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $20,700 for Lead Data Engineer Richmond, VA: 175,800 - 200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).