Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Capital One

Job Title: Senior Data Engineer Location: McLean, Virginia, United States of America (Zip Code: 19075) About Us: At Capital One, we believe in the power of technology to solve complex problems and improve lives. We are a diverse and inclusive community of passionate individuals who work together to create innovative solutions that meet the needs of our customers. Join us and be part of a team that drives real transformation within Capital One. What You'll Do: - Collaborate with Agile teams to design, develop, test, implement, and support technical solutions - Work with a team of experienced developers in machine learning, distributed microservices, and full-stack systems - Utilize programming languages like Java, Scala, Python, and Open Source databases - Stay up-to-date with tech trends, experiment with new technologies, and mentor others - Work closely with digital product managers to deliver cloud-based solutions for financial empowerment - Perform unit tests and code reviews to ensure high-quality code and optimal performance Basic Qualifications: - Bachelor's Degree - Minimum 4 years of application development experience - At least 1 year of experience in big data technologies Preferred Qualifications: - 5+ years of application development experience in Python, SQL, Scala, or Java - 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - 3+ years of experience with distributed computing tools like Hadoop, Spark, or Kafka - 2+ years of experience working on real-time data and streaming applications - 2+ years of experience with NoSQL databases (Mongo, Cassandra) - 2+ years of data warehousing experience (Redshift or Snowflake) - 3+ years of experience with UNIX/Linux and basic shell scripting - 2+ years of experience with Agile engineering practices Salary Range: - New York City (Hybrid On-Site): $161,900 - $184,800 per year for Senior Data Engineer - San Francisco, California (Hybrid On-Site): $171,500 - $195,800 per year for Senior Data Engineer Note: Salary may vary based on location and employment terms. Benefits: Capital One offers a comprehensive and competitive set of health, financial, and other benefits to support your well-being. For more information, please visit the Capital One Careers website. Eligibility may vary based on employment status and management level. Equal Opportunity Employer: Capital One is committed to diversity and inclusion in the workplace. We are an equal opportunity employer and do not discriminate on the basis of sex, race, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, veteran status, or any other basis prohibited by applicable law. We promote a drug-free workplace. Accommodations: If you need accommodations during the application process, please contact Capital One Recruiting. Any information provided will be kept confidential and used only for required accommodations. Technical Support: For technical support or questions about our recruiting process, please email Careers@capitalone.com. Note: Capital One Financial operates different entities in various locations. Position postings in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC). Response: Dear Hiring Manager, I came across the job posting for a Senior Data Engineer at Capital One and I am excited to express my interest in the position. I possess the necessary qualifications and experience required for this role. Your company's commitment to diversity and inclusion, as well as your mission to make positive impacts in the technology space, aligns with my own values. I believe in working collaboratively to solve complex problems and using data and emerging technologies to drive meaningful change. In regards to the job responsibilities, I am confident in my abilities to collaborate with Agile teams, design technical solutions, and utilize programming languages such as Java, Scala, and Python. I am also experienced in working with big data technologies and cloud-based data warehousing services. In terms of qualifications, I hold a Bachelor's Degree and have over four years of application development experience. I am well-versed in various programming languages and have a strong understanding of distributed computing tools and databases. Additionally, I have experience working on real-time data and streaming applications, as well as in Agile engineering practices. Regarding compensation, I appreciate the transparency in providing the salary range for the Senior Data Engineer position. I understand that the actual salary may vary depending on factors such as location and employment terms. I am eager to contribute to Capital One's mission and make a difference in the lives of millions of Americans through technology-driven financial empowerment. Please find attached my resume for your review. I look forward to the opportunity to discuss my qualifications further and how I can contribute to the success of Capital One's data engineering team. Thank you for considering my application. Sincerely, [Your Name] Bullet Points: - Position: Senior Data Engineer at Capital One - Location: McLean, Virginia - Collaborate with Agile teams to design, develop, test, implement, and support technical solutions - Work with experienced developers in machine learning, distributed microservices, and full-stack systems - Use programming languages like Java, Scala, Python, and Open Source databases - Stay up-to-date with tech trends, experiment with new technologies, and mentor others - Deliver cloud-based solutions for financial empowerment in collaboration with digital product managers - Perform unit tests and code reviews to ensure high-quality code - Basic Qualifications: Bachelor's Degree, minimum 4 years of application development experience, and at least 1 year of experience in big data technologies - Preferred Qualifications: 5+ years of application development experience in Python, SQL, Scala, or Java; experience with public clouds like AWS, Azure, or Google Cloud; experience with distributed computing tools like Hadoop, Spark, or Kafka; experience with real-time data and streaming applications; experience with NoSQL databases (Mongo, Cassandra); experience with data warehousing (Redshift or Snowflake); experience with UNIX/Linux and shell scripting; experience with Agile engineering practices - Salary range for Senior Data Engineer positions in specific locations: New York City (Hybrid On-Site): $161,900 - $184,800 per year, San Francisco, California (Hybrid On-Site): $171,500 - $195,800 per year - Capital One offers a comprehensive and competitive set of health, financial, and other benefits - Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace - Accommodations can be provided for applicants who require them during the application process - For technical support or questions about the recruiting process, email Careers@capitalone.com - Capital One Financial operates different entities in various locations [Note: It is important to include the disclaimer about third-party products, services, and other applicable laws and regulations regarding criminal background inquiries, but HTML formatting cannot be applied here without a specific implementation.]