Locations: VA - Richmond, United States of America, Richmond, VirginiaLead Data Engineer (Remote-Eligible)We are looking for driven individuals to join our team of passionate data engineers in creating Capital One''s next generation of data products and capabilities. - You will build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub - You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners - You will transform complex analytical models into scalable, production-ready solutions - You will continuously integrate and ship code into our on premise and cloud Production environments - You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL - You will work directly with Product Owners and customers to deliver data products in a collaborative and agile environment Responsibilities: - Lead and develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers - Master new technologies rapidly as needed to progress varied initiatives - Break down complex data issues and resolve them - Build robust systems with an eye on the long term maintenance and support of the application - Leverage reusable code modules to solve problems across the team and organization - Drive cross team design and influencing / development via technical leadership / mentoring - Influence cross team/matrix organization - Provide technical guidance to team members What we have: - A startup mindset with the backing of a top 10 bank - Monthly Innovation - Days dedicated to test driving cutting edge technologies - Flexible work schedules - Convenient office locations - Generous salary and merit-based pay incentives - Your choice of equipment (MacBook/PC, iPhone/Android Device) Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications:Bachelor''s DegreeAt least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologiesAt 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 Java4+ 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 scripting2+ years of experience with Agile engineering practicesAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 4901-4920; 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 1-800-304-9102 or via email at [Click Here to Email Your Resum]. 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 [Click Here to Email Your Resum]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).

Clearance Required:TS/SCI with Full Scope Poly Relocation assistance:NoVisa sponsorship eligibility:NoA Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.Position Responsibilities:A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Masters Degree 5 years of experience, or PhD 2 years of experience Required Skills:Programming experience with data analysis software such as R, Python, SAS, or MATLAB.Develop experiments to collect data or models to simulate data when required data are unavailable.Develop feature vectors for input into machine learning algorithms.Identify the most appropriate algorithm for a given dataset and tune input and model parameters.Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).Oversee the development of individual analytic efforts and guide team in analytic development process.Guide analytic development toward solutions that can scale to large datasets.Partner with software engineers and cloud developers to develop production analytics.Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.Continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

Job Description - Lead Data Engineer (240002RV)DescriptionAs a Lead Data Engineer, you will use your advanced expertise to guide the development and operationalization of cloud data pipelines, ensuring data is accessible for reports, advanced analytics, and AI. Your role includes overseeing data ingestion, transformation, validation, and quality, as well as optimizing and orchestrating data pipelines. You will also manage continuous integration and deployment (CI/CD) practices, leading and mentoring a team of data engineers to deliver robust data solutions aligned with business objectives.Qualifications<ul><li>Bachelor's Degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)</li><li>Requires deep functional knowledge with 10 years of related experience, or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)</li></ul>Required Skills/Knowledge<ul><li>Experience with big data; data processing and cloud technologies.</li><li>Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing.</li><li>Experience with data manipulation; data mining.</li><li>Experience working in production cloud infrastructure.</li><li>Experience with C#, Java, Python, SQL, and programming concepts.</li><li>Knowledge of Microsoft Azure; Databricks or equivalent.</li><li>Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.</li><li>Ability to work independently.</li><li>Demonstrated analytical skills and project management skills.</li><li>Excellent verbal and written communication skills.</li><li>Ability to drive multiple projects to successful completion.</li><li>Collaborate effectively with cross-functional teams.</li><li>Adapt to changing priorities and thrive in a dynamic environment.</li></ul>Functional Accountabilities<ul><li>Leads the design and implementation of standardized data management procedures.</li><li>Provides advanced expertise in the design, development, implementation, testing, documentation, and preparation of large scale, high volume data structures.</li><li>Ensures quality of technical solutions as data moves across environments.</li><li>Develops, constructs, tests, and maintains architectures using advanced programming languages and tools.</li><li>Leads and implements ways to improve data reliability, efficiency, and quality.</li><li>Performs other duties as assigned.</li><li>Complies with all policies and standards.</li></ul>Organizational Accountabilities<ul><li>Anticipate and respond to customer needs; follows up until needs are met.</li></ul>Teamwork/Communication<ul><li>Demonstrate collaborative and respectful behavior.</li><li>Partner with all team members to achieve goals.</li></ul>Primary Location: Maryland-Silver SpringWork Locations: Inventa Towers, 1 Inventa Place, Silver Spring 20910Job: Information TechnologyOrganization: OperationsPosition Status: R (Regular) - FT - Full-TimeShift: DayWork Schedule: 8-5Job Posting: Oct 10, 2024, 12:46:28 PMFull-Time Salary Range: 128452 - 214087Childrens National Hospital is an equal opportunity employer that evaluates qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
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Job DescriptionDescriptionThe Senior Data Engineer is responsible for designing, developing, and operationalizing advanced cloud data pipelines to facilitate seamless data consumption for reports, advanced analytics, and AI initiatives. This role involves overseeing the entire data lifecycle, including data ingestion, transformation, validation, and quality assurance. The Senior Data Engineer ensures the optimization and orchestration of data pipelines to handle high-volume and high-performance requirements effectively. Additionally, this role leads efforts in Continuous Integration and Continuous Deployment (CI/CD), driving automation and deployment efficiency. The Senior Data Engineer collaborates with cross-functional teams to align data solutions with business needs, provide strategic insights, and mentor junior team members, all while upholding best practices and ensuring data integrity.Qualifications<ul><li>Bachelor’s degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)</li><li>Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)</li></ul>Required Skills/Knowledge<ul><li>Experience with big data; data processing and cloud technologies.</li><li>Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing.</li><li>Experience with data manipulation; Data mining.</li><li>Experience working in production cloud infrastructure.</li><li>Experience with C#, Java, Python, SQL, and programming concepts/tools.</li><li>Knowledge of Microsoft Azure; Databricks or equivalent.</li><li>Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.</li><li>Ability to work independently.</li><li>Demonstrated analytical and project management skills.</li><li>Excellent verbal and written communication skills; ability to communicate complex findings clearly.</li><li>Collaborate effectively with cross-functional teams.</li><li>Adapt to changing priorities and thrive in a dynamic environment.</li></ul>Functional Accountabilities<ul><li>Guide the design and implementation of complex data management procedures.</li><li>Provide guidance in the design, development, implementation, testing, documentation, and preparation of large scale, high volume, high performance data structures.</li><li>Design, develop, and maintain real-time processing applications and data pipelines.</li><li>Ensure quality of technical solutions as data moves across environments.</li><li>Provide senior level knowledge into the changing cloud data environment and drive the team toward viable solutions.</li><li>Develop, construct, test, and maintain architectures using advanced programming languages and tools.</li><li>Drive improvements in data reliability, efficiency, and quality; automate tasks where possible.</li><li>Perform other duties as assigned.</li><li>Comply with all policies and standards.</li></ul>Organizational Accountabilities<ul><li>Anticipate and respond to customer needs; follow up until needs are met.</li></ul>Teamwork/Communication<ul><li>Demonstrate collaborative and respectful behavior.</li><li>Partner with all team members to achieve goals.</li><li>Be receptive to others’ ideas and opinions.</li></ul>Performance Improvement/Problem-solving<ul><li>Contribute to a positive work environment.</li><li>Demonstrate flexibility and willingness to change.</li><li>Identify opportunities to improve processes.</li><li>Make appropriate decisions using sound judgment.</li></ul>Safety<ul><li>Speak up when team members exhibit unsafe behavior.</li><li>Continuously validate and verify information needed for decision making.</li><li>Actively promote safety for patients, families, visitors, and co-workers.</li></ul><h3>Primary Location</h3>Maryland-Silver Spring<h3>Work Locations</h3>Inventa Towers, 1 Inventa Place, Silver Spring, 20910<h3>Job</h3>Information Technology<h3>Organization</h3>OperationsPosition Status: R (Regular) - FT - Full-TimeShift: DayWork Schedule: 8-5<h3>Job Posting</h3><h3>Full-Time Salary Range</h3>$109,116.80 - $181,854.40Childrens National Hospital is an equal opportunity employer that evaluates qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
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Center 2 (19050), United States of America, McLean, VirginiaLead Data Engineer (Remote)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 such as Machine Learning based Data Quality solutions. Team Info: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. You''ll be driving the creation of the next generation transformation engine within the Finance Technology Line of Business, allowing multiple other applications to source business critical data that is of the highest quality while meeting strict Service Level Agreements. What You''ll Do:Collaborate with and across Agile teams and lines of businesses to design, develop, test, implement, and support technical solutions for data transformation using technologies such as Spark, Scala, PythonBuild a machine learning based data quality solution for Anomaly detection Work with a team of developers with deep experience in machine learning, data engineering, distributed microservices, and full stack systemsUtilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as SnowflakeShare 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 communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance"Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor''s Degree At least 6 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 Java4+ 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, or MySQL)4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 4901-4920; 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 1-800-304-9102 or via email at [Click Here to Email Your Resum]. 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 [Click Here to Email Your Resum]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).

The Senior Data Engineer is responsible for designing, developing, and operationalizing advanced cloud data pipelines to facilitate seamless data consumption for reports, advanced analytics, and AI initiatives. This role involves overseeing the entire data lifecycle, including data ingestion, transformation, validation, and quality assurance. The Senior Data Engineer ensures the optimization and orchestration of data pipelines to handle high-volume and high-performance requirements effectively. Additionally, this role leads efforts in Continuous Integration and Continuous Deployment (CI/CD), driving automation and deployment efficiency. The Senior Data Engineer collaborates with cross-functional teams to align data solutions with business needs, provide strategic insights, and mentor junior team members, all while upholding best practices and ensuring data integrity. Qualifications: Minimum Education<ul> <li>Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)</li> </ul>Minimum Work Experience<ul> <li>Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)</li> </ul>Required Skills/Knowledge<ul> <li>Experience with big data; data processing and cloud technologies.</li> <li>Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing.</li> <li>Experience with data manipulation; Data mining.</li> <li>Experience working in production cloud infrastructure.</li> <li>Experience with C# (programming language); Java (programming language); Programming concepts; Programming tools; Python (Programming Language); SQL (programming language).</li> <li>Knowledge of Microsoft Azure; Databricks or equivalent.</li> <li>Seeks to acquire knowledge in area of specialty.</li> <li>Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.</li> <li>Ability to work independently.</li> <li>Demonstrated analytical skills.</li> <li>Demonstrated project management skills.</li> <li>Demonstrates a high level of accuracy, even under pressure.</li> <li>Demonstrates excellent judgment and decision-making skills.</li> <li>Great verbal and written communication skills, communicate complex findings in a clear and understandable manner</li> <li>Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation</li> <li>Attention to detail.</li> <li>Communicate complex findings in a clear and understandable manner</li> <li>Collaborate effectively with cross-functional teams</li> <li>Adapt to changing priorities and thrive in a dynamic environment</li> </ul>Functional Accountabilities<ul> <li>Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, data destruction, (scripts, programs automation, assisted by automation etc.)</li> </ul> <ul> <li>Provides guidance to data engineering in the design, development, implementation, testing, documentation, and preparation of large scale, high volume, high performance data structures for business intelligence analysts.</li> </ul> <ul> <li>Designs, develops and maintains real time processing applications and real time data pipelines.</li> </ul> <ul> <li>Ensure quality of technical solutions as data moves across environments.</li> </ul> <ul> <li>Provides senior level knowledge and insight into the changing cloud data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions.</li> </ul> <ul> <li>Develops, constructs, tests, and maintains architectures using advanced programming languages and tools.</li> </ul> <ul> <li>Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated.</li> </ul> <ul> <li>Performs other duties as assigned.</li> </ul> <ul> <li>Complies with all policies and standards.</li> </ul>Organizational Accountabilities<ul> <li>Anticipate and responds to customer needs; follows up until needs are met</li> </ul>Teamwork/Communication<ul> <li>Demonstrate collaborative and respectful behavior</li> </ul> <ul> <li>Partner with all team members to achieve goals</li> </ul> <ul> <li>Receptive to others' ideas and opinions</li> </ul>Performance Improvement/Problem-solving<ul> <li>Contribute to a positive work environment</li> </ul> <ul> <li>Demonstrate flexibility and willingness to change</li> </ul> <ul> <li>Identify opportunities to improve clinical and administrative processes</li> </ul> <ul> <li>Make appropriate decisions, using sound judgment</li> </ul>Cost Management/Financial Responsibility<ul> <li>Use resources efficiently</li> </ul> <ul> <li>Search for less costly ways of doing things</li> </ul>Safety<ul> <li>Speak up when team members appear to exhibit unsafe behavior or performance</li> </ul> <ul> <li>Continuously validate and verify information needed for decision making or documentation</li> </ul> <ul> <li>Stop in the face of uncertainty and takes time to resolve the situation</li> </ul> <ul> <li>Demonstrate accurate, clear and timely verbal and written communication</li> </ul> <ul> <li>Actively promote safety for patients, families, visitors and co-workers</li> </ul> <ul> <li>Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance</li> </ul>

Locations: VA - Richmond, United States of America, Richmond, VirginiaLead Data Engineer (Remote-Eligible)We are looking for driven individuals to join our team of passionate data engineers in creating Capital One''s next generation of data products and capabilities. - You will build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub - You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners - You will transform complex analytical models into scalable, production-ready solutions - You will continuously integrate and ship code into our on premise and cloud Production environments - You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL - You will work directly with Product Owners and customers to deliver data products in a collaborative and agile environment Responsibilities: - Lead and develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers - Master new technologies rapidly as needed to progress varied initiatives - Break down complex data issues and resolve them - Build robust systems with an eye on the long term maintenance and support of the application - Leverage reusable code modules to solve problems across the team and organization - Drive cross team design and influencing / development via technical leadership / mentoring - Influence cross team/matrix organization - Provide technical guidance to team members What we have: - A startup mindset with the backing of a top 10 bank - Monthly Innovation - Days dedicated to test driving cutting edge technologies - Flexible work schedules - Convenient office locations - Generous salary and merit-based pay incentives - Your choice of equipment (MacBook/PC, iPhone/Android Device) Capital One is open to hiring a Remote Employee for this opportunity.Basic Qualifications:Bachelor''s DegreeAt least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologiesAt 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 Java4+ 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 scripting2+ years of experience with Agile engineering practicesAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 4901-4920; 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 1-800-304-9102 or via email at [Click Here to Email Your Resum]. 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 [Click Here to Email Your Resum]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).

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Data Engineer Jobs in Silver Spring, MD

Lead Data Engineer RemoteeligibleDecember 16, 2024

Data Data EngineerDecember 16, 2024

Lead Data EngineerDecember 11, 2024

Senior Data EngineerDecember 8, 2024

Lead Data Engineer RemoteDecember 3, 2024

Senior Data EngineerDecember 1, 2024

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