Data Engineer III

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 transforms data into 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. Help identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Analyzing complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develop 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. Oversee 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. Deploying software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates. Demonstrates up-to-date expertise and apply 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, Engineering (any) or a related field; OR Bachelor’s degree or the equivalent in Computer Science, Engineering (any) or a related field plus 2 years of experience in software engineering or related experience.

Skills required: Must have experience with: Analyze business requirements, perform data analysis, and develop technical design documents in collaboration with product and data teams; Design and build scalable, distributed data pipelines/ETL solutions using Spark, Hadoop, Hive, Azure Databricks, Azure Data Factory, Azure Blob Storage, GCP Dataproc, and BigQuery; Develop high-quality data solutions using object-oriented programming (Python, Scala) following industry best practices; Automate workflows and streamline processes using Python and shell scripting; build lightweight ETL frameworks; Optimize and tune Spark applications (Spark Core, Spark SQL, Spark Streaming) to improve performance and reduce costs; Implement data pipelines on cloud platforms including Microsoft Azure, Databricks, Google Cloud Platform and BigQuery; Orchestrate workflows using tools such as Apache Airflow, Azure Data Factory, GCP Cloud Composer, Automic, and Oozie; Establish CI/CD pipelines using GitHub, Jenkins, JFrog, and Artifactory; Manage code with Git-based version control, enabling collaboration, code review, and release management; Write optimized SQL for data extraction, transformation, and warehousing (Hive, BigQuery); Collaborate with cross-functional teams to deliver scalable data solutions on time; Apply Agile and Waterfall methodologies based on project needs; Design data models across RDBMS and cloud systems to support efficient data access and analytics. Employer will accept any amount of experience with the required skills.

Rate of pay: $110,302.00 - 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.