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Data Engineer III - job 1 of 2

Position Summary...

What you'll do...

Tech. Problem Formulation Requires knowledge of: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To identify possible options to address the business problems within one's discipline through relevant analytical methodologies. Demonstrate understanding of use cases and desired outcomes.
Understanding Business Context Requires knowledge of: Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To support the development of business cases and recommendations. Drives delivery of project activity and tasks assigned by others. Supports process updates and changes. Support, under guidance, in solving business issues.
Data Governance Requires knowledge of: Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy; Enterprise regulatory and ethical policies and strategies. To support the documentation of data governance processes. Supports the implementation of data governance practices.
Data Strategy Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.
Data Source Identification Requires knowledge of: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
Data Transformation and Integration Requires knowledge of: Internal and external data sources including how they are collected, where and how they are stored, and interrelationships, both within and external to the organization; Techniques like ETL batch processing, streaming ingestion, scrapers, API and crawlers; Data warehousing service for structured and semi-structured data, or to MPP databases such as Snowflake, Microsoft Azure, Presto or Google BigQuery; Pre-processing techniques such as transformation, integration, normalization, feature extraction, to identify and apply appropriate methods; Techniques such as decision trees, advanced regression techniques such as LASSO methods, random forests etc; Cloud and big data environments like EDO2 systems. To extract data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends.
Data Modeling Requires knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc. ; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques. To analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions. Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.
Code Development and Testing Requires knowledge of: Coding languages like SQL, Java, C++, Python and others; Testing methods such as static, dynamic, software composition analysis, manual penetration testing and others; Business, domain understanding. To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates.
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.


Leadership Expectations

Respect for the Individual: Demonstrates and encourages respect for all; builds a high-performing, diverse team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and equitable experiences where associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best, diverse team members.

Respect for the Individual: Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others’ contributions and accomplishments.

Respect for the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.

Acts with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, members, and the world around us.

Acts with Integrity: Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.

Acts with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.

Service to the Customer/Member: Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members.

Service to the Customer/Member: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team’s strategy.

Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.

Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $90,000.00-$180,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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 in
software 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...

805 Se Moberly Ln, Bentonville, AR 72712, United States of America
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Average salary estimate

$135000 / YEARLY (est.)
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$90000K
$180000K

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What You Should Know About Data Engineer III, Walmart

As a Data Engineer III at Walmart in Bentonville, AR, you will be at the forefront of translating business needs into technical solutions, playing a crucial role in our data strategy. Your expertise in big data analytics, business systems, and regulatory requirements will help us build scalable data processes that significantly impact our decision-making. You will leverage your knowledge of data modeling, data transformation, and integration to build effective data pipelines, ensuring that we harness the full potential of our data assets. Collaborating with diverse teams, you'll identify new sources of data, perform quality checks, and develop data models that power our analytics efforts. Your mission will be to turn complex datasets into strategically valuable insights, applying techniques like ETL, advanced regression, and AI-driven metadata management. Along the way, you'll lead initiatives related to data governance, ensuring compliance with ethical standards while fostering a data-driven culture. This role offers a unique opportunity to contribute to a collaborative team environment that values respect, integrity, and a commitment to innovation. You will also enjoy competitive compensation and a robust benefits package, including paid time off, educational assistance, and a range of health benefits. Join Walmart in our quest to reshape the future of retail through data!

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

As a Data Engineer III at Walmart, your responsibilities will include designing and implementing data pipelines, ensuring data quality, and transforming complex datasets into actionable insights. You will collaborate with cross-functional teams to understand their data needs and develop strategies that align with our business objectives. Your role also involves maintaining data governance practices and adapting to regulatory requirements, ensuring the integrity and security of our data assets.

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What qualifications are required for a Data Engineer III position at Walmart?

To qualify for the Data Engineer III role at Walmart, candidates must have at least a Bachelor’s degree in Computer Science or equivalent experience. You should have a minimum of two years of experience in software engineering or a related field, or you may qualify with four years of relevant work experience. Preferred qualifications include a Master’s degree and further expertise in data engineering, database technologies, and knowledge of data accessibility best practices.

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What technical skills are essential for a Data Engineer III at Walmart?

Successful Data Engineers III at Walmart should be proficient in various programming languages, including SQL and Python, and have experience with cloud technologies and big data tools, such as Snowflake or Google BigQuery. Knowledge of ETL processes, data modeling techniques, and familiarity with advanced analytics methods are also crucial. Additionally, understanding data governance and regulatory compliance will set you apart in this role.

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What is the working environment like for a Data Engineer III at Walmart?

The working environment for a Data Engineer III at Walmart is dynamic and collaborative. You'll work alongside diverse teams, fostering a culture of respect and integrity while driving innovation. Your contributions will have a significant impact on data-driven decision-making processes within the company, supported by a commitment to continuous learning and development within the technology and data fields.

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What benefits can one expect as a Data Engineer III at Walmart?

As a Data Engineer III at Walmart, you will enjoy a competitive salary in addition to comprehensive health benefits, including medical, vision, and dental coverage. You have access to robust paid time off policies, educational programs, and financial benefits like a 401(k) and performance-based bonuses. Walmart is committed to offering a supportive work culture that promotes work-life balance and employee growth.

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Common Interview Questions for Data Engineer III
Can you explain your experience with data modeling for business solutions?

In responding to this question, focus on specific examples from your past roles where you've designed data models to meet business objectives. Share the tools you used, the challenges you faced, and how you ensured data accuracy and relevance.

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How do you approach data quality assurance in your projects?

Discuss your methods for performing data quality checks, including the tools and metrics you've used. Emphasize your understanding of data governance principles and how you implement them to maintain high standards in data integration and processing.

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What ETL processes and tools are you familiar with?

Provide a detailed overview of your experience with ETL tools, such as Apache NiFi or Talend, and the techniques you've applied in data extraction, transformation, and loading. You might also want to mention specific projects where you automated these processes.

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How do you stay updated with the latest trends in data engineering?

Highlight how you engage with the data engineering community through webinars, online courses, or industry conferences. Mention specific resources you utilize to keep your skills current and how you apply these trends to your work.

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Describe a challenging data integration problem you solved.

Use the STAR method (Situation, Task, Action, Result) to outline a particular challenge you've faced in data integration. Describe your thought process, the actions you took to resolve it, and the outcomes that resulted from your intervention.

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What coding languages have you used for data engineering projects?

Mention the programming languages you are proficient in, like Python, SQL, or Java, and specify how each has been applied in your previous projects. If you've built any custom scripts or automation processes, be sure to highlight those.

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How do you ensure compliance with data governance policies?

Explain your understanding of data governance policies and compliance regulations. Detail how you apply these standards in your work to maintain data integrity, security, and privacy, including any experiences you have with audits or compliance checks.

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Can you discuss your experience with cloud platforms in data engineering?

Share your experiences working with cloud platforms such as AWS, Google Cloud, or Azure. Highlight specific projects that leveraged cloud services for data storage, processing, and analytics, emphasizing the benefits these platforms provided.

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What strategies do you use for performance tuning of data pipelines?

Outline the techniques you use for optimizing data processing, whether through query optimization, resource allocation, or choosing appropriate data models. Mention any specific cases where you successfully enhanced the performance of existing systems.

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How do you manage cross-functional collaboration on data projects?

Discuss your approach to working with various stakeholders from different departments. Emphasize the importance of communication, understanding business needs, and how you ensure your data solutions align with broader organizational goals.

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April 20, 2025

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