(USA) Staff, Data Assurance Engineer
About The Position
We are seeking a skilled Data Engineer to design, develop, and maintain data pipelines for processing and analyzing large-scale datasets across teams. This role will focus on orchestrating data workflows in a containerized environment, primarily using Python, to build scalable ETL solutions. The ideal candidate will have experience working with large-scale datasets, optimizing data workflows, and integrating with distributed computing frameworks. About the team: The UEBA team consists of skilled Data Scientists and Analysts dedicated to reducing attack risks through proactive threat detection. Utilizing advanced analytics and machine learning, the team collaborates closely with various Information Security groups to enhance cybersecurity measures. Their work involves continuous monitoring, data analysis, and incident management to safeguard organizational assets. By leveraging expertise in cyber risk and information assurance, the team supports the development and implementation of effective security strategies, ensuring robust protection against evolving threats while maintaining high standards of accuracy and reliability in all operations.
Requirements
- Advanced SQL knowledge and experience working with relational and NoSQL databases.
- Strong programming skills in Python for data processing and analytics.
- Experience with data modeling, data integration, and ETL processes.
- Experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines.
- Proficiency in working with large-scale data sets and distributed computing platform like Kubernetes.
- Familiarity with the use of GitHub for collaborative code management, tracking changes, and code review.
- Proficiency in writing comprehensive technical documentation.
- Experience with data workflow orchestration (e.g., Apache Airflow, Argo Workflows).
- Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity or related area and 4 years’ experience in data assurance at a technology, retail, or data-driven company.
- OR 6 years’ experience in data assurance at a technology, retail, or data-driven company.
Nice To Haves
- Experience with machine learning and data science concepts is a plus.
- Certification in Security+, Network+, GISF, CISSP, or CCSP.
- Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity or related area and 2 year’s Exposure of leading/ working on Information Security / Cybersecurity Projects.
- 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.
- Knowledge of accessibility best practices.
Responsibilities
- Design, develop, and maintain scalable data pipelines to process and analyze log data, leveraging workflow orchestration tools in a containerized environment.
- Build and optimize ETL processes for efficient log parsing, transformation, and storage using advanced expertise in Python and SQL.
- Work with distributed computing frameworks.
- Integrate with both on-prem and cloud infrastructure to support high-volume data ingestion.
- Work closely with data scientists, security analysts, and engineers to provide clean, structured data that supports analytics and decision-making.
- Protect the data of millions of customers, associates, and Walmart’s ever-expanding infrastructure across the globe.
- Stay up-to-date with the latest industry trends and technologies in data engineering.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
