Logistics at full potential. At GXO, we're constantly looking for talented individuals at all levelswho can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at workand the resources to build a career you can be proud of. As the Lead Data Engineer, you will lead the design and development of robust and scalable data pipelines on a modern data platform. You will work closely with cross-functional teams to understand data requirements, implement efficient solutions, and ensure the reliability and performance of our data infrastructure. The ideal candidate will have a strong background in data engineering, expertise in working with cloud platforms such as Google Cloud Platform (GCP), and experience with modern data warehousing solutions like Snowflake. The Lead Data Engineer will mentor less experienced developers and collaborate with cross-functional teams, stakeholders, and vendors to achieve project milestones and deliver a robust and scalable data lake solution. Pay, benefits and more. We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more. What you'll do on a typical day: Data Pipeline Design and Development: Lead the design, implementation, and maintenance of data pipelines to support data ingestion, transformation, and storage on GCP and Snowflake. Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business objectives. Platform Optimization: Optimize and enhance the performance, scalability, and reliability of existing data pipelines, ensuring efficient data processing and storage. Technology Stack: Stay abreast of industry trends and emerging technologies in data engineering and incorporate them into the data architecture where applicable. Experience with the following modern data stack highly preferred: GCP, Snowflake, Fivetran, and dbt. Quality Assurance: Implement best practices for data quality, validation, and testing to ensure the accuracy and integrity of data throughout the pipeline. Documentation: Create and maintain comprehensive documentation for data pipelines, ensuring knowledge transfer and supportability. What you need to succeed at GXO: At a minimum, you'll need: Bachelor's degree in Computer Science, Data Science,or equivalent related work 5 in designing and building data pipelines on cloud platforms, preferably GCP and Snowflake. Expertise in working with modern data warehousing solutions such as Snowflake, ie, Snowpipe Streaming, Warehouse Optimization, and clustering. Highly preferred, real-time data processing experience using Kafka. Python and Advanced SQL: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, and have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization. Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques. A good understanding of the data structures that support email targeting. ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT pipelines to process large datasets using dbt. Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar tool. GitHub: Experience with version control, branching, and collaboration on GitHub. Data Visualization: Knowledge of tools like Superset, Looker or Python visualization libraries (Matplotlib, Seaborn, Plotlyetc) Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams. Data Privacy: Knowledge of data privacy laws including an understanding of GDPR, CCPA, and other regulations to ensure compliance in data privacy practices. It'd be great if you also have: Master's degree Snowflake Certification (highly preferred) GCP Certification (highly preferred) We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

Locations: US Remote, United States of AmericaSenior Data Engineer - Principal Associate (Remote - Eligible)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, 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 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 performanceCapital One is open to hiring a Remote Employee for this opportunityBasic Qualifications: Bachelor''s Degree At least 4 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 Java3+ years of experience with UNIX/Linux including basic commands and shell scripting3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)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) 2+ years of experience with Agile engineering practices 2+ years of experience with test Unit, functional and Performance test cases2+ years of experience with exception handling, logging and monitoringAt 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).

West Creek 8 (12080), United States of America, Richmond, VirginiaLead Data Engineer (Remote Eligible)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 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 performanceCapital 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, Gurobi, or MySQL)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 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).

Data Engineer Jobs in Burke, VA

Lead Data Engineer Remote
December 6, 2024

Senior Data Engineer Principal Associate Remote Eligible
December 2, 2024

Lead Data Engineer Remote Eligible
December 2, 2024

Quick filters

Top companies

Data Engineer Jobs in Burke, VA

Lead Data Engineer RemoteDecember 6, 2024

Senior Data Engineer Principal Associate Remote EligibleDecember 2, 2024

Lead Data Engineer Remote EligibleDecember 2, 2024

Quick filters

Top companies

Lead Data Engineer Remote
December 6, 2024

Senior Data Engineer Principal Associate Remote Eligible
December 2, 2024

Lead Data Engineer Remote Eligible
December 2, 2024