Data Engineer III

Reposted Yesterday
Bentonville, AR, USA
Hybrid
110K-180K Annually
Junior
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Develops data pipelines, data models, data warehouses, and data flows using Google Cloud Platform, BigQuery, Spark, Kafka, Hive, and related technologies. Performs data extraction, quality checks, integration analysis, testing, deployment, governance support, and troubleshooting. Creates logical and physical data models, automates jobs, documents solutions, and supports end users and less experienced programmers. Provides technical guidance and contributes to business problem-solving through analytics and automation.
Summary Generated by Built In

What you'll do...

Position: Data Engineer III 

 

Job Location: 811 Excellence Dr, Bentonville, AR 72716 

 

Duties: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation. Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Supports the documentation of data governance processes. Supports the implementation of data governance practices. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Extracts 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. Supports 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. Analyzes 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. Writes 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. 

 

Minimum education and experience required: Master’s degree or the equivalent in Computer Science or related field; OR Bachelor’s degree or the equivalent in Computer Science or related field plus 2 years of experience in software engineering or related field. 

 

Skills Required: Must have experience with: Designing and developing dataflows in Google Cloud Platform; Coding in programming language in Scala and object-oriented programming in Python; Designing and developing data warehouse in BigQuery; Developing data pipelines and analyzing Adhoc request with Apache Spark and PySpark; Designing and developing SQL like querying and Data pipeline on Google bucket with Apache Hive; Code commit and version controlling in Git and Code deployment in Looper with CI/CD; Developing Shell Scripts to Automate jobs; Developing real time data streaming with Apache Kafka; Retrieving relevant data and analysis with Data Discovery; Developing data ingestion pipelines with Sqoop; and Designing and testing Relation database management system in BigQuery and MySQL. Employer will accept any amount of experience with the required skills. 

 

Rate of pay:     $109,699.00 - 180,000.00/year.  Additional compensation includes annual or quarterly performance incentives.    

 

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.   

  

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.com.  

  

Wal-Mart is an Equal Opportunity Employer.   

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Master's degree or equivalent in Computer Science or a related field
  • Bachelor's degree or equivalent in Computer Science or a related field plus 2 years of experience in software engineering or a related field
  • Experience designing and developing dataflows in Google Cloud Platform
  • Experience coding in Scala and object-oriented programming in Python
  • Experience designing and developing data warehouses in BigQuery
  • Experience developing data pipelines and analyzing ad hoc requests with Apache Spark and PySpark
  • Experience designing and developing SQL-like queries and data pipelines on Google Cloud Storage with Apache Hive
  • Experience with Git code commit and version control
  • Experience with code deployment in Looper using CI/CD
  • Experience developing Shell scripts to automate jobs
  • Experience developing real-time data streaming with Apache Kafka
  • Experience retrieving and analyzing relevant data with Data Discovery
  • Experience developing data ingestion pipelines with Apache Sqoop
  • Experience designing and testing relational database management systems in BigQuery and MySQL

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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