What you'll do...

Position: Staff Data Engineer

Job Location: 14901 Quorum Drive, Suite 740, Dallas, TX 75254

Duties: Establish, modify, and document data governance projects and recommendations. Implement data governance practices in partnership with business stakeholders and peers. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies, and guidelines. Provide recommendations on needed updates or inputs into data governance policies, practices, or guidelines. Translate/co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and give examples to demonstrate how the method would solve the business problem. Understand the priority order of requirements and service level agreements. Define and identify the most suitable sources for required data that is fit for purpose, referring to external sources as required. Perform initial data quality checks on the extracted data. Review the deliverables of junior associates and provide guidance on data source and quality. Build the infrastructure required for optimal transformation and integration from a wide variety of data sources using appropriate data integration technologies. Use modern tools, techniques, and architecture to partially or completely automate the most common, repeatable and tedious data preparation and integration tasks. Deploy pipelines using scheduling and orchestration frameworks. Evaluate impacts of data issues and risks at an early stage. Identify needs and create methods to fuse and reshape complex, multi-source data and make it usable for modeling. Update knowledge of current and emerging big data analytics and data science trends and techniques. Build complex logical and conceptual models and provide guidance to team on physical data models. Identify and define the appropriate techniques for exposing data to other systems. Review and provide guidance and input on all data modeling activities to team members. Create and maintain critical data documentation and metadata that allows data to be understood and leveraged as a shared asset. Assist in defining data modeling standards and foundational best practices. Provide inputs to the architectural design to make best use of the available resources, given goals, and expected loads. Review the solution and application design to ensure it meets business, technical, and data requirements. Identify language and libraries to use in the development process. Map test cases to business and functional requirements. Create proof of concepts. Reviews and troubleshooting code in line with final designs. Identify and recommend the appropriate testing methodology. Identify the environment(s) for deployment. Identify and recommend modifications of application based on different environment requirements. Identify modifications needed for scalability and drive the change. Monitor applications in production and leads development of patches where required. Review and ensure all code documentation is complete and updated periodically. Understand, articulate, interpret, and apply the principles of the defined strategy to unique, moderately complex business problems that may span one or more functions or domains.

Minimum education and experience required: Bachelor's degree or equivalent in Computer Science and 4 years of experience in software engineering, data engineering, database engineering, business intelligence, or business analytics or related field; OR Master's degree or equivalent in Computer Science and 2 years of experience in software engineering, data engineering, database engineering, business intelligence, or business analytics or related field.

Skills required: Experience with designing and implementing Data Lakehouse and Data Lake architecture (Databricks, S3, and Glue). Experience with real-time Change Data Capture (CDC) ingestion frameworks (Kafka, Debezium, and Kinesis). Experience coding and debugging in an object-oriented programming language (Python). Experience with Big Data processing using Spark and PySpark (Spark Streaming, Spark SQL, and Python Pandas). Experience developing and optimizing data pipelines and reusable frameworks (Glue, ETL, and ELT). Experience with CI/CD practices (Jenkins, Harness, and GitHub Actions). Experience designing and querying Relational, NoSQL databases and Data Warehousing (Redshift, MySQL, MongoDB, Netezza, and DB2). Experience with cloud infrastructure and serverless computing for data solutions (AWS Services such as Lambda, CloudFormation, CloudWatch, and IAM). Experience developing analytical, AI, and ML data platforms in AWS for decision support. Experience with Unix shell scripting for job orchestration, automation, and scheduling. Experience with data modeling and schema design (dimensional modeling, normalization, and denormalization strategies). Experience with data security and governance (implementing data quality checks, metadata management, and compliance). Employer will accept any amount of experience with the required skills.

Salary Range: $135,907/year to $220,000/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.