Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Senior, Data Engineer, Big Data image - Rise Careers
Job details

Senior, Data Engineer, Big Data - job 1 of 4

Position Summary...What you'll do...At Walmart, we help people save money, so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our customers.Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail? With the sheer scale of Walmart's environment comes the biggest of big data sets.As a Walmart Data Engineer in Marketplace, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on. You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way. You will partner with Data Scientists, Analysts, other engineers and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers' and sellers' lives.About the Data and Customer Analytics (DCA) Organization:Our organization focuses on managing and delivering world-class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.What you'll do:• You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.• You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way.• You will partner with Data Scientists, Analysts, other engineers, and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the marketplace business model while making a positive impact on our customers' and sellers' lives.• You will participate with limited help in small to large sized projects by reviewing project requirements; gather requested information; write and develop code; conduct unit testing; communicate status and issues to team members and stakeholders; collaborate with project team and cross functional teams; troubleshoot open issues and bug-fixes; and ensure on-time delivery and hand-offs.• You will design, develop and maintain highly scalable and fault-tolerant real time, near real time and batch data systems/pipelines that process, store, and serve large volumes of data with optimal performance.• You will ensure data ingested and processed is accurate and of high quality by implementing data quality checks, data validation, and data cleaning processes.• You will identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation.• You will build business domain knowledge to support the data need for product teams, analytics, data scientists and other data consumers.What you'll bring:• At least 4+ years of experience development of big data technologies/data pipelines• Experience in managing and manipulating huge datasets in the order of terabytes (TB) is essential.• Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.• Experience in building idempotent workflows using orchestrators like Automic, Airflow, Luigi etc.• Experience in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL• Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets.• Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work.• Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process.• Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative.• Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project.Nice to have from you:• Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.• Good understanding of REST APIs - working knowledge on Apache Druid, Redis, Elastic search, GraphQL or similar technologies. Understanding of API contracts, building telemetry, stress testing etc.• Exposure in developing reports/dashboards using Looker/Tableau• Experience in eCommerce domain preferred.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.About Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid workWe use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits & Perks:Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see One.Walmart .The annual salary range for this position is $117,000.00-$234,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience insoftware engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or relatedfield.2 years' experience in data engineering, database engineering, business intelligence, or business analytics.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
Walmart Glassdoor Company Review
3.4 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
Walmart DE&I Review
No rating Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon
CEO of Walmart
Walmart CEO photo
Doug McMillon
Approve of CEO

Average salary estimate

$175500 / YEARLY (est.)
min
max
$117000K
$234000K

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 Senior, Data Engineer, Big Data, Walmart

Are you a passionate data enthusiast ready to make a difference in the retail world? Join Walmart as a Senior Data Engineer in Fremont, CA! In this role, you'll dive deep into the analysis and transformation of massive datasets, bringing your innovative ideas to life as you create and maintain robust data pipelines. Imagine having a direct impact on the future of retail while collaborating with Data Scientists, Analysts, and a talented team of engineers. Your work will ensure that our data is not only accurate but also easily accessible for those looking to solve complex challenges. If you have a knack for using big data technologies like Hadoop and Apache Spark, and enjoy building seamless and scalable data systems, this position is perfect for you. You'll be instrumental in designing and refining data architectures, continuously working to enhance how we harness information for our business needs. Plus, with a flexible hybrid working environment that brings together collaboration and innovation, this isn’t just a job - it's a chance to shape how millions of customers experience retail. So, are you ready to bring your skills to Walmart and drive the future of data science in retail? Let's change the game together!

Frequently Asked Questions (FAQs) for Senior, Data Engineer, Big Data Role at Walmart
What are the primary responsibilities of a Senior Data Engineer at Walmart?

As a Senior Data Engineer at Walmart, your main responsibilities will include designing and maintaining data pipelines, ensuring data quality through rigorous validation processes, and collaborating with Data Scientists and Analysts to deliver actionable insights. You'll work with big data technologies to transform raw data into valuable assets and contribute to complex data orchestration layer projects.

Join Rise to see the full answer
What qualifications do I need to apply for the Senior Data Engineer position at Walmart?

To apply for the Senior Data Engineer position at Walmart, you should ideally have at least 4 years of experience in data engineering, along with a strong background in big data technologies like Hadoop and Apache Spark. A Bachelor's degree in Computer Science or significant relevant experience is also required, as is proficiency in SQL for data analysis.

Join Rise to see the full answer
What technologies will I be working with as a Senior Data Engineer at Walmart?

In this role, you will work with cutting-edge technologies including Hadoop, Apache Spark (preferably using Scala), Apache Hive, and workflow orchestrators like Apache Airflow. Familiarity with cloud platforms such as GCP, AWS, or Azure will also be beneficial, as you will be managing large volumes of data in cloud environments.

Join Rise to see the full answer
Can you describe the collaborative environment for a Senior Data Engineer at Walmart?

As a Senior Data Engineer at Walmart, you'll participate in a highly collaborative environment where you will engage with Data Scientists, business stakeholders, and technical teams. Your contributions will directly influence project requirements and outcomes, making effective communication and teamwork essential to your success.

Join Rise to see the full answer
What are the growth opportunities for a Senior Data Engineer in Walmart?

Walmart offers various growth opportunities for Senior Data Engineers, including pathways into data architecture roles, leadership positions, or specialized roles in data science and analytics. Continuous learning and skill enhancement are supported through training programs, ensuring that you’re well-equipped for career advancement.

Join Rise to see the full answer
Common Interview Questions for Senior, Data Engineer, Big Data
What experience do you have with big data technologies?

In answering this question, highlight your specific experiences with technologies such as Hadoop, Apache Spark, and any other relevant frameworks. Talk about projects where you used these technologies to solve data challenges, emphasizing your ability to optimize pipeline performance.

Join Rise to see the full answer
How do you ensure data quality in your data pipelines?

Discuss the importance of implementing data validation checks, cleaning processes, and automated monitoring systems. Provide examples of how you have previously identified and resolved data quality issues in your projects.

Join Rise to see the full answer
What strategies do you employ when designing data systems?

Explain your approach to data system design, focusing on scalability, fault tolerance, and performance. You can mention using best practices for data modeling, including how you consider the evolution of data sources during design.

Join Rise to see the full answer
Can you describe a challenging project you've worked on in the past?

Provide a detailed example of a challenging project, explaining the specific hurdles you faced and how you overcame them. Highlight your role in the project and the outcome, focusing on your contributions as a data engineer.

Join Rise to see the full answer
How do you manage project timelines and deliverables?

Discuss your project management skills, including how you prioritize tasks, set deadlines, and communicate progress to stakeholders. Mention any specific tools you use for tracking project timelines.

Join Rise to see the full answer
What is your experience with SQL and data querying?

Talk about your proficiency with SQL, detailing the types of queries you have written, any optimization techniques you implemented, and how you leveraged SQL for data analysis and reporting.

Join Rise to see the full answer
How do you handle stakeholder requirements in your data engineering projects?

Explain your process for gathering and understanding stakeholder requirements. Highlight the importance of communication and how you translate those requirements into data pipeline solutions.

Join Rise to see the full answer
What do you consider when scaling data systems?

Discuss factors such as data size, access frequency, and user load that influence how you plan for scalability. Provide examples from your past experiences where you successfully scaled systems.

Join Rise to see the full answer
Can you describe any experience you have with real-time data processing?

Share your familiarity with real-time data processing frameworks like Apache Kafka or Spark Streaming. Give specific examples of how you've built or maintained near real-time data pipelines.

Join Rise to see the full answer
What continuous learning avenues do you pursue in data engineering?

Talk about your commitment to staying current in the field, such as taking online courses, reading industry publications, attending conferences, or participating in coding challenges, emphasizing how it benefits your work as a data engineer.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 13 days ago
Photo of the Rise User
Bosch Group Remote Omladinskih brigada 90E, Beograd, Serbia
Posted 7 days ago
Photo of the Rise User
WPROMOTE Remote Remote, United States
Posted 12 hours ago
Photo of the Rise User
NBCUniversal Remote 900 Sylvan Avenue, Englewood Cliffs, NEW JERSEY
Posted 9 days ago
Photo of the Rise User
Posted 9 days ago
Photo of the Rise User
Posted 16 hours ago
Photo of the Rise User
Posted yesterday
Photo of the Rise User
BankUnited Remote Miami Lakes, FL
Posted 18 hours ago

"To save people money so they can live better.”

6234 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 16, 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!