Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote) image - Rise Careers
Job details

Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote)

Locations: US Remote, United States of AmericaLead Data Engineer, Data Mgmt Optimization - Shopping (Remote)Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money. Your role will involve working on data platforms that move billions of rows of data a day. You’ll use languages like Java and Go and work with platforms like Hive, Trino, Cassandra, Kafka, and Nomad.This is more than just a job; it's an opportunity to be part of a collaborative and forward-thinking community, where your contributions will make a significant impact in an ever-dynamic tech landscape. Join us as we push boundaries and redefine the future of our industry.What You’ll Do:• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions for data analytics and management at scale• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems• Utilize programming languages like Java, Go, and Python and data platforms such as Trino, Hive, and Kafka• Share 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 community• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentBasic Qualifications:• Bachelor’s 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:• 5+ years of experience in application development including Java, Go, or Python• 4+ 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)• 4+ year experience working on real-time data and streaming applications• 3+ years of experience with NoSQL implementation (Mongo, Cassandra)• 3+ years of experience with UNIX/Linux including basic commands and shell scripting• 2+ years of data warehousing experience (Redshift or Snowflake)• 2+ years of experience with Agile engineering practicesAt 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.Remote (Regardless of Location): $170,700 - $194,800 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 candidate’s 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 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 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).
Capital One Glassdoor Company Review
4.2 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
Capital One DE&I Review
4.2 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
CEO of Capital One
Capital One CEO photo
Richard D. Fairbank
Approve of CEO

Average salary estimate

$182750 / YEARLY (est.)
min
max
$170700K
$194800K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote), Capital One

Are you ready to take a lead role in shaping the future of data engineering? As the Lead Data Engineer for Data Management Optimization at Capital One Shopping, you’ll dive into the exciting world of remote work, collaborating with a talented team in a fast-paced, innovative environment. Your expertise will help us harness billions of rows of data daily, utilizing technologies like Java, Go, and tools such as Hive, Trino, and Kafka. You’ll be more than just a coder; you’ll play a vital role in designing, developing, and maintaining robust data analytics solutions that empower millions of customers to save money. Imagine a role where your passion for technology is nurtured and where you get to mentor your peers while forging your own path in the tech community. This is an incredible opportunity to work alongside experts in machine learning and distributed microservices, where your ideas and contributions will make a huge impact. Your journey as a Lead Data Engineer is not just about coding; it’s about collaborating with Agile teams to deliver transformative cloud-based solutions and staying at the forefront of tech trends. Come join Capital One Shopping, where your talents will thrive and where together, we can redefine the tech landscape!

Frequently Asked Questions (FAQs) for Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote) Role at Capital One
What are the responsibilities of a Lead Data Engineer at Capital One Shopping?

As a Lead Data Engineer at Capital One Shopping, you will engage in designing, developing, and implementing data analytics and management solutions at scale. Your main responsibilities will include collaborating with Agile teams, working with various technologies like Java, Go, Hive, and Kafka, and supporting technical solutions that help our customers achieve financial empowerment.

Join Rise to see the full answer
What are the required qualifications for the Lead Data Engineer position at Capital One Shopping?

To qualify for the Lead Data Engineer role at Capital One Shopping, you need a Bachelor’s Degree and at least 4 years of application development experience with a focus on big data technologies. You'll also need a minimum of 1 year of cloud computing experience, preferably with platforms like AWS, Microsoft Azure, or Google Cloud.

Join Rise to see the full answer
What programming languages should a Lead Data Engineer at Capital One Shopping be familiar with?

A Lead Data Engineer at Capital One Shopping should have proficiency in Java, Go, and Python. These languages are essential for developing robust data solutions and working with distributed systems and data platforms, which are core to our engineering practices.

Join Rise to see the full answer
How does Capital One Shopping support employee growth for Data Engineers?

Capital One Shopping emphasizes a collaborative environment where continuous learning is encouraged. Lead Data Engineers are not only able to stay up to date with the latest technologies but also have opportunities to mentor others and share their expertise, resulting in both personal and professional growth.

Join Rise to see the full answer
What is the salary range for a Lead Data Engineer at Capital One Shopping?

The salary range for a Lead Data Engineer at Capital One Shopping is between $170,700 and $194,800, depending on your experience and location. Additionally, this role is eligible for performance-based incentives, which may include cash bonuses or long-term incentives.

Join Rise to see the full answer
Common Interview Questions for Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote)
Can you describe your experience with big data technologies relevant to the role of Lead Data Engineer?

In answering this question, focus on specific big data technologies you have used, such as Hadoop, Spark, or Kafka. Discuss how you've implemented these technologies in previous projects, the challenges faced, and how you've leveraged them to solve data-related problems.

Join Rise to see the full answer
How do you ensure the quality and reliability of data when working as a Lead Data Engineer?

To ensure data quality, I prioritize implementing robust data validation techniques at various stages of data processing. Regular monitoring of data pipelines and using tools for real-time data quality checks can help maintain data integrity, which is crucial for data-driven decision making.

Join Rise to see the full answer
What is your approach to collaborating with cross-functional teams in a remote work environment?

Collaboration in a remote setting requires clear communication and proactive engagement. I leverage tools like Slack and Zoom for discussions, use project management software to track progress, and ensure regular check-ins with team members to foster teamwork despite the physical distance.

Join Rise to see the full answer
What programming languages and frameworks do you feel most comfortable using as a Lead Data Engineer?

I am most comfortable with languages such as Java and Go, as well as frameworks like Apache Kafka and Hive. I would highlight my experience in using these tools to build efficient, scalable data pipelines and emphasize how they contribute to business goals.

Join Rise to see the full answer
How have you implemented Agile practices in your past projects?

I have utilized Agile methodologies by participating in regular sprint planning and retrospective meetings, where we iteratively develop features, gather feedback and adjust our strategies accordingly. I find Agile allows the team to adapt quickly to changes and deliver quality results.

Join Rise to see the full answer
Can you provide an example of a challenging data problem you have solved?

When discussing a challenging data problem, pick an example that demonstrates critical thinking and technical skills. Describe the problem, your analysis, the approach you took to solve it, and the outcome, emphasizing how this experience has prepared you for the Lead Data Engineer role.

Join Rise to see the full answer
What techniques do you use to stay updated with the latest trends in data engineering?

I stay current with data engineering trends by following industry leaders on social media, participating in relevant online forums, attending webinars, and enrolling in courses to learn about new technologies and best practices relevant to the Lead Data Engineer position.

Join Rise to see the full answer
Describe how you handle tight deadlines while maintaining quality in data engineering projects.

Maintaining quality under tight deadlines requires effective prioritization and time management. I break down tasks, set realistic milestones, delegate where possible, and ensure consistent communication with stakeholders to manage expectations effectively.

Join Rise to see the full answer
How do you integrate security best practices into your data engineering work?

Integrating security best practices entails ensuring data encryption, access controls, and regular security audits of data systems. I also champion compliance with data protection regulations, making sure that all data engineering processes safeguard sensitive information.

Join Rise to see the full answer
How do you mentor junior engineers in a data engineering team?

Mentoring junior engineers involves providing guidance on best practices, encouraging knowledge sharing, conducting code reviews, and creating a supportive environment where they feel comfortable asking questions. I believe mentoring accelerates their growth and strengthens the team's capabilities.

Join Rise to see the full answer
Similar Jobs
Clearer.io Remote Ho Chi Minh, Vietnam
Posted 11 days ago
Photo of the Rise User
Posted 13 days ago
Photo of the Rise User
Dlocal Remote No location specified
Posted 6 days ago
Paid Holidays
Photo of the Rise User
Posted 5 days ago
Photo of the Rise User
Viamericas Remote Medellin, Antioquia
Posted 8 days ago

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran

808 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
December 9, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!