Data Engineer III
(USA) AR BENTONVILLE Home Office Bentonville Global Tech, United States
Full Time Senior-level / Expert USD 90K - 180K
Walmart
What’s a career at Walmart or Sam’s Club like? To find out, explore our culture, our opportunities and the difference you can make.Position Summary...
What you'll do...
We are looking for a Data Engineer III to join our Customer Data Engineering team to advance the way we empower internal teams with best-in-class customer data products and privacy compliant data platforms. This hands-on role requires proficient data engineering and coding skills, a passion for data engineering and engineering excellence. You will play a critical role in our team, focusing on the development of petabyte scale Customer data products. You will work closely with teams such as Marketing, Walmart Connect, Data Ventures, and Walmart+ to enable business growth and provide best in class omni customer experiences for Walmart’s customers.
About Team:
Everyone has data, but the sheer volume of data at Walmart can be limitless. In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.
What you'll do:
- Collaborate with cross-functional teams to understand data requirements and design data solutions that meet business needs
- Develop and maintain data pipelines and ETL processes using Spark and Scala
- Design, build, and optimize data models and data architecture for efficient data processing and storage
- Implement data integration and data transformation workflows to ensure data quality and consistency
- Monitor and troubleshoot data pipelines to ensure data availability and reliability
- Conduct performance tuning and optimization of data processing systems for improved efficiency and scalability
- Work closely with data scientists and analysts to provide them with the necessary data sets and tools for analysis and reporting
- Stay up-to-date with the latest industry trends and technologies in data engineering and apply them to enhance the data infrastructure
What you'll bring:
- Proven working experience as a Data Engineer with a minimum of 2 years in the field
- Experience in multiple stack technologies such as Java, Python, Scala
- Exposure with Hadoop, Hive, Spark using Scala, Spark Serverless, Spark Streaming, Presto/Trino, Kubernetes, Cloud, Airflow and Data Lake concepts
- Strong programming skills in Scala and experience with Spark for data processing and analytics
- Familiarity with Google Cloud Platform (GCP) services such as BigQuery, GCS, Dataproc, Pub/Sub, etc.
- Experience working with public cloud technologies such as Google Cloud Platform
- Experience with data modeling, data integration, and ETL processes
- Strong knowledge of SQL and database systems
- Understanding of data warehousing concepts and best practices
- Proficiency in working with large-scale data sets and distributed computing frameworks
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
About Walmart Global Tech
Imagine 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 work:
We 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:
Benefits: 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.
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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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 $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum 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 2 years' experience in software engineering or related field. Option 2: 4 years’ experience insoftware engineering or related field. Option 3: Master's degree in Computer Science.
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, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field, 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...
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaTags: Airflow Architecture Big Data BigQuery Business Analytics Business Intelligence Classification Computer Science Data pipelines Dataproc Data quality Data Warehousing Engineering ETL GCP Google Cloud Hadoop Java Kubernetes Machine Learning Pipelines Privacy Python Scala Spark SQL Streaming
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment
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