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).

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders Data Engineer, Engineer, Risk Manager, Solutions, Management, Banking, Data

Responsibilities: <ol><li>Collaborate with IT SMEs and business stakeholders for requirements gathering.</li><li>Prepare technical design documents and coordinate with offshore development teams.</li><li>Design, build, and deploy efficient data pipelines; optimize and maintain existing ones.</li><li>Implement data quality checks and ensure high data integrity.</li><li>Develop scalable data warehouses and data products.</li><li>Enhance data movement frameworks with a focus on automation.</li><li>Utilize expert-level SQL skills and engage in data modeling.</li><li>Apply CI/CD pipeline, DevOps practices, and Agile methodologies.</li></ol> Skills and Experience: <ul><li>Proficiency in Azure Services, DataBricks, and Python.</li><li>Advanced SQL skills and experience with Snowflake.</li><li>8 years in Data Engineering; 4 years with Azure Services.</li><li>Familiarity with Jira, GitLab, data modeling, data analysis, and test automation.</li></ul> Compensation: $60.00 per hour Empowering the Future of Healthcare The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience. ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.

<ul><li>12+ years of IT experience. </li><li>Experience or knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra.</li><li>Strong understanding of in-memory processing and data formats (Avro, Parquet, Json etc.)</li><li>Experience in AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS</li><li>Experience in stream-processing systems: i.e., Storm, Spark-Structured-Streaming, Kafka consumers.</li><li>Experience in migrating the project.</li><li>Experience in object-oriented/object function scripting languages: i.e., Python, Java, Scala, R, SQL.</li><li>Experience in data pipeline and workflow management tools: i.e., AWS Data Pipeline, Apache Airflow, Argo.</li><li>Experience in big data tools: i.e., Hadoop, Spark, Kafka.</li><li>Experience or knowledge of software engineering tools/practices: i.e., Github, VSCode, CI/CD</li><li>Hands-on experience in designing and maintaining data schema life-cycles.</li></ul>

<h3>Job Description</h3><div>Job Description<div><div>GCP Data Engineer Onsite  Dallas TX Skills:-</div><ul><li>8+ Years as a Data Engineer</li><li>Exp with Google Cloud, Big Query</li><li>Apache Hive, Pig etc</li><li>Cloud engineering</li><li>Kubernetes</li><li>Excellent comm skills</li></ul><div></div></div></div>

Data Engineer Jobs in Addison, TX

Lead Data Engineer Remote
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Sr Data Engineerdata Architect
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Sr Data Engineer Aws
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Big Data Engineer
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Gcp Data Engineer
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Data Engineer Jobs in Addison, TX

Lead Data Engineer RemoteOctober 21, 2024

Data Engineer IiOctober 16, 2024

Sr Data Engineerdata ArchitectOctober 15, 2024

Sr Data Engineer AwsOctober 13, 2024

Big Data EngineerOctober 13, 2024

Gcp Data EngineerOctober 4, 2024