Job Title: Data Engineer (Secret Clearance) Location: Remote EST hours (up to 20% travel may be required) Pay: $120,000 We are seeking a Mid-Level Data Engineer with a passion for learning and problem-solving to join our team. The ideal candidate will be responsible for designing and implementing data migration processes, integrating data from various sources, and ensuring the secure and efficient handling of both structured and unstructured data. Proficiency with Talend, Qlik Replicate, and cloud platforms such as Azure or AWS is highly desirable. The successful candidate will play a key role in optimizing and securing our data migration and integration workflows. You Will: <ul><li> Collaborate with data architects and project managers to develop comprehensive data migration strategies for structured (e.g., relational databases) and unstructured data (e.g., documents, media). </li><li> Use Qlik Replicate for real-time replication, Change Data Capture (CDC), and data migration from source databases to target environments. </li><li> Design, implement, and optimize Talend ETL/ELT pipelines for batch processing and transformation of structured and unstructured data. </li><li> Ensure data integration across diverse sources (on-premises, cloud, ADLS, databases) into platforms like Azure, AWS, and Dataverse. </li><li> Automate tasks such as data validation, transformation, and reconciliation to ensure efficiency and consistency. </li><li> Perform data profiling, cleansing, and transformation to support accurate mapping and merging of data formats. </li><li> Conduct thorough testing (unit, integration, performance) and ensure the accuracy and completeness of migrated data. </li><li> Troubleshoot data migration issues, optimize performance, and provide post-migration support. </li><li> Create and maintain documentation for ETL workflows, data migration scripts, and configuration settings. </li><li> Collaborate closely with stakeholders to provide status updates and resolve data-related challenges. </li><li> Stay up-to-date with the latest data engineering tools, technologies, and best practices. </li></ul> You Have: <ul><li> U. S. Citizenship </li><li> A minimum of a Department of Defense (DoD) Secret level Security Clearance </li><li> Bachelor's degree in Computer Science, Information Technology, or a related field. </li><li> 3+ years of experience in data engineering, specifically with data migration and integration projects. </li><li> Hands-on experience with Talend for ETL/ELT processes and Qlik Replicate for data replication and CDC. </li><li> Proficiency in working with both structured (relational databases, data warehouses) and unstructured data (files, NoSQL, media). </li><li> Experience with cloud platforms such as Azure or AWS for data migration and storage. </li><li> Strong understanding of data modeling, data architecture, and data governance principles. </li><li> Familiarity with SQL and NoSQL databases, as well as experience with large-scale data integration projects. </li><li> Strong analytical, problem-solving, and debugging skills. </li><li> Excellent verbal and written communication skills for collaboration across teams. </li><li> Ability to work independently and manage multiple priorities in a fast-paced environment. </li></ul> #clearance #cleared EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Job Title: Data Engineer (Secret Clearance) Location: Remote EST hours (up to 20% travel may be required) Pay: $120,000 We are seeking a Mid-Level Data Engineer with a passion for learning and problem-solving to join our team. The ideal candidate will be responsible for designing and implementing data migration processes, integrating data from various sources, and ensuring the secure and efficient handling of both structured and unstructured data. Proficiency with Talend, Qlik Replicate, and cloud platforms such as Azure or AWS is highly desirable. The successful candidate will play a key role in optimizing and securing our data migration and integration workflows. You Will: <ul><li> Collaborate with data architects and project managers to develop comprehensive data migration strategies for structured (e.g., relational databases) and unstructured data (e.g., documents, media). <li> Use Qlik Replicate for real-time replication, Change Data Capture (CDC), and data migration from source databases to target environments. <li> Design, implement, and optimize Talend ETL/ELT pipelines for batch processing and transformation of structured and unstructured data. <li> Ensure data integration across diverse sources (on-premises, cloud, ADLS, databases) into platforms like Azure, AWS, and Dataverse. <li> Automate tasks such as data validation, transformation, and reconciliation to ensure efficiency and consistency. <li> Perform data profiling, cleansing, and transformation to support accurate mapping and merging of data formats. <li> Conduct thorough testing (unit, integration, performance) and ensure the accuracy and completeness of migrated data. <li> Troubleshoot data migration issues, optimize performance, and provide post-migration support. <li> Create and maintain documentation for ETL workflows, data migration scripts, and configuration settings. <li> Collaborate closely with stakeholders to provide status updates and resolve data-related challenges. <li> Stay up-to-date with the latest data engineering tools, technologies, and best practices. </ul> You Have: <ul><li> U. S. Citizenship <li> A minimum of a Department of Defense (DoD) Secret level Security Clearance <li> Bachelor's degree in Computer Science, Information Technology, or a related field. <li> 3+ years of experience in data engineering, specifically with data migration and integration projects. <li> Hands-on experience with Talend for ETL/ELT processes and Qlik Replicate for data replication and CDC. <li> Proficiency in working with both structured (relational databases, data warehouses) and unstructured data (files, NoSQL, media). <li> Experience with cloud platforms such as Azure or AWS for data migration and storage. <li> Strong understanding of data modeling, data architecture, and data governance principles. <li> Familiarity with SQL and NoSQL databases, as well as experience with large-scale data integration projects. <li> Strong analytical, problem-solving, and debugging skills. <li> Excellent verbal and written communication skills for collaboration across teams. <li> Ability to work independently and manage multiple priorities in a fast-paced environment. </ul> #clearance #cleared EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

130 5th Ave (22130), United States of America, New York, New YorkSenior Lead Data EngineerDo 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 Senior Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.What Youll Do:Collaborate with and across Agile teams to design, develop, iterate, test, implement, and support technical solutions in full-stack development tools and technologiesLead a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 performanceBasic Qualifications: Bachelors 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: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java4+ 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 scripting2+ years of experience with Agile engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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.New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Data EngineerCandidates 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 candidates 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 4901-4920; New York Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).

77 West Wacker Dr (35012), United States of America, Chicago, IllinoisLead Data Engineer (Spark, Scala, SQL)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, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Description: Join the team to lead the development and execution of strategies to convert retail partners by utilizing data driven insights and innovative technologies. This is a team of skilled data engineers that build robust data pipelines, ensuring data integrity accuracy and accessibility for all stakeholders. Spear head the design and implementation of scalable conversion solutions tailored to meet the needs of each retail partner. We design, build, and own services leveraging a wide list of technologies (Spark/Scala/Python), and use AWS infrastructure that hosts the solutions. Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks . The team is organized as an agile team working in the SAFe construct and runs daily standups, 2-week sprints, and plans work with the rest of the platform in 3-sprint product increments.What Youll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Scala and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 performanceBasic Qualifications: Bachelors 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 SQL or Scala4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (Kafka or Spark)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo or 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 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.Illinois (Hybrid On-Site): $187,700 - $214,200 for Lead Data EngineerCandidates 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 candidates 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 4901-4920; New York Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).

Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, SQL, AWS)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 Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 performanceBasic Qualifications: Bachelors Degree At least 3 years of experience in application development (Internship experience does not apply)At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ 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, 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).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 4901-4920; New York Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).

Center 1 (19052), United States of America, McLean, VirginiaLead Data Engineer, Card TechDo 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, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and 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 performanceBasic Qualifications: Bachelors 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 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 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.New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data EngineerIllinois (Hybrid On-Site): $187,700 - $214,200 for Lead Data EngineerCandidates 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 candidates 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 4901-4920; New York Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).

<h2>About Lumen</h2>Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.<h2>The Role</h2>If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.Program dates: May 30 – August 8, 2025.<h2>The Main Responsibilities</h2>Lumen’s Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications.Other responsibilities of intern will include:<ul><li>Supporting digital channel for mass markets customers </li><li>Research AI solutions to reduce cost and improve customer experience </li><li>Manage data pipelines</li></ul><h2>What We Look For in a Candidate</h2>Program eligibility is contingent on the candidate’s commitment of the entire 10-week program. No exceptions will be made.Required qualifications<ul><li>Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship </li><li>Graduating August 2025 – May 2027 </li><li>Preferred fields include burt not limited to: – Computer Science, Business Analytics, Data Science, Information Systems. </li><li>Intern must be able to work 40 hours per week during the 10-week program (May 30 – August 8, 2025) </li><li>Proficiency and understanding of: </li><li>MS Office Suite – Excel and PowerPoint </li><li>Python expertise </li><li>Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models </li><li>Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc…) </li><li>Cloud platforms like GCP </li><li>React.Js </li><li>Node.Js </li></ul>Preferred qualifications<ul><li>Analytical Skills: Ability to analyze and interpret data to provide actionable insights </li><li>Experience with statistical analysis and data visualization tools is a plus. </li><li>Attention to detail and a proactive approach to learning and development. </li><li>Ability to translate technical information into non-technical terms </li><li>Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements </li><li>Eagerness to learn and adapt to new technologies and methodologies. </li><li>Strong organization skills </li><li>Ability to multitask while working in fast paced environment </li></ul><h2>Compensation</h2>Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.Hourly Based Pay Range: 
Min: $26.00/hour 
Max: $43.00/hour<h2>What to Expect Next</h2>After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application.Application & Interview Timeline:<ul><li>October – First Round Interviews with top, qualified candidates</li><li>November - Interview panel with work team</li><li>December - All Summer 2025 offers will be extended by end of month</li></ul>Requisition #: 335207Background ScreeningIf you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our <a href="https://jobs.lumen.com/global/en/faq">FAQ page</a>. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Equal Employment OpportunitiesWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.DisclaimerThe job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.<h4>Salary Range</h4>Salary Min:26Salary Max:43This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information <a href="https://jobs.lumen.com/global/en/compensation-information">here.</a> We're able to answer any additional questions you may have as you move through the selection process.As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking <a href="https://centurylinkbenefits.com">here.</a>Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.Application Deadline 
10/31/2024

Job Description We are seeking a candidate with a passion for technology and a commitment to enhancing operations and the customer/employee experience. The ideal candidate will have empathy and experience working with colleagues from diverse backgrounds and the ability to present information clearly and insightful. Responsibilities: Assemble large, complex data sets that meet both functional and non-functional business requirements. Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies. Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Support hosted applications on existing technology infrastructure and contribute to the strategy for next-generation efforts. Manage and maintain the deployment, monitoring, maintenance, development, upgrade, and support of SQL-related software and hardware. Implement and support databases, storage systems, high-availability solutions, replication, encryption, and disaster recovery solutions. Maintain SQL databases associated with production and non-production environments, ensuring accurate testing and deployment of internally developed applications. Ensure data separation and security across national boundaries through multiple data centers and AWS regions. Identify, design, and implement internal process improvements, including infrastructure redesign for greater scalability, optimizing data delivery, and automating manual processes. Build the necessary infrastructure for optimal data extraction, transformation, and loading from various data sources using AWS and SQL technologies. Develop analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics, including operational efficiency and customer acquisition. Create and manage development and production databases. Perform data modeling and design. Conduct database performance tuning. Document database systems. Qualifications: 7-10 years of experience in a similar role. Bachelor's degree or equivalent experience in computer science, information technology, software engineering, or a related field. Experience with relational SQL databases, including Oracle, SQL Server, MySQL, and PostgreSQL. Advanced PLSQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with various databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytical skills related to working with unstructured datasets. Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management. Proven history of manipulating, processing, and extracting value from large, disconnected datasets. Proficiency in SQL Server Administration (SSMS, SQL clustering, Data Synchronization, Encryption, Partitioning, Performance, and Security), T-SQL. Solid understanding of the software development process, including requirement gathering, analysis/design, development tools/technologies, release/version control, and contemporary testing methodologies. Strong experience with SQL query performance tuning. Experience working with JIRA, Confluence, and GitLab. Benefits: Health Insurance Dental Vision 401K Paid Days Off Life Insurance Long/Short Term Disability Paid Certifications

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Data Engineer Jobs in Chesapeake, VA

Data EngineerNovember 14, 2024

Data EngineerNovember 9, 2024

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