Data Engineer II

Data Engineer II – Walmart

This role works for Walmart. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$80,000 – $155,000 per year

We are seeking a skilled Data Engineer II to design, build, and maintain scalable data pipelines and foundational data assets that power advanced analytics, machine learning, and business intelligence across the organization. In this role, you will collaborate closely with data scientists, analysts, and engineers to ensure data is accessible, reliable, and ready for insight generation. You will contribute to enterprise data engineering patterns, improve data quality and performance, and help evolve our modern data ecosystem.

• Develop and optimize end-to-end data pipelines that ingest, transform, and deliver data across business domains.
• Design and implement data models for both structured and unstructured data to support analytics and operational needs.
• Build and maintain ETL/ELT workflows using Airflow, Dataflow, etc.
• Improve data quality through automated validation, monitoring, and anomaly detection frameworks.
• Implement scalable data processing using Dataflow or similar technologies.
• Write efficient SQL and code to support data transformation and performance optimization.
• Ensure data governance and security alignment, including metadata management and documentation.
• Partner with cross‑functional teams to support analytical products and experimentation initiatives.
• Stay current with emerging data engineering tools and best practices to drive continuous improvement.

• Hands‑on experience developing data pipelines and ETL/ELT processes in production environments.
• Proficiency with Python for data manipulation and automation.
• Strong SQL skills and experience working with Big Query and Mongo (preferred).
• Experience with cloud‑based data ecosystems, preferably GCP.
• Familiarity with version control, CI/CD, and engineering best practices.
• Ability to analyze complex datasets and troubleshoot pipeline performance issues.
• Clear communication skills with the ability to partner effectively across teams.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field and at least 2 years of experience.

• Experience with big data frameworks such as Airflow, Dataflow, etc.
• Knowledge of data lake and lakehouse architectures.
• Familiarity with streaming data technologies like Kafka.
• Interest in supporting ML feature pipelines and operationalizing data for AI initiatives.

Walmart offers competitive pay, performance bonuses, and a comprehensive benefits package including medical, vision and dental coverage; 401(k) with company match; paid time off; parental leave; disability insurance; and an education reimbursement program. Additional benefits are available depending on job classification and length of employment.

Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.