Senior Data Engineer

The Senior Data Engineer role on Walmart's Global Data Foundation team focuses on building and maintaining end-to-end data solutions that support critical business decisions and scalable product experiences. You will design data ingestion pipelines, transformation workflows, and consumption-layer data products, integrating diverse technologies to deliver cohesive, high-quality data assets.

Location

2608 Se J St, Bentonville, AR 72712, United States of America (onsite)

Compensation

USD 90,000 - 234,000 per year

Education

Master's degree in Computer Science

Responsibilities

• Develop and maintain scalable data pipelines and backend systems.
• Integrate and optimize data from multiple sources to ensure quality and reliability.
• Enhance data processing frameworks and associated tooling.
• Design, manage, and govern data schemas across their lifecycle.
• Collaborate with cross-functional teams on data-driven initiatives.
• Pursue continual improvements in software effectiveness and efficiency.
• Adhere to company policies, values, and ethical standards.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Business Administration, Information Systems, or a related field, with at least 3 years of software engineering experience.
• Alternatively, 5 years of software engineering or related field experience.
• Alternatively, a Master’s degree in Computer Science with 1 year of software engineering or related field experience.
• Additionally, 2 years of experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications

• Experience in data engineering, database engineering, business intelligence, or business analytics, with exposure to ETL tools and large cloud-based datasets.
• Master’s degree in Computer Science or related field with at least 3 years of software engineering experience.
• Background in creating inclusive digital experiences and applying accessibility standards, including WCAG 2.2 AA, with supporting technologies and practices.

Technologies

• Apache Spark, Scala, Airflow, Hive
• BigQuery, Google Cloud Storage (GCS), Kafka
• Python, Java, SQL
• RESTful APIs, OAuth, JWT, API gateways
• Spring, Spring Boot, Postgres
• Cassandra, Cosmos, Presto, Trino
• Hadoop, Avro, Parquet, JSON
• Azure, Google Cloud Platform (GCP)
• Kibana, Elasticsearch
• GitHub Copilot, Cursor, JUnit, Mockito, Jest, Sonar
• GitHub

Benefits

• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off programs covering vacation, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Additional benefits include short-term and long-term disability, employee discounts, Military Leave Pay, and adoption or surrogacy expense reimbursement.
• PTO or PPTO options for various purposes, including holidays or personal time.
• Live Better U education benefit program covering education from high school completion to bachelor’s degrees, with fully paid tuition, books, and fees for eligible associates.
• Eligibility and terms may vary by job classification and tenure; benefits are subject to plan terms and changes.
• For details, refer to One.Walmart.

About the Customer Area

Customer Area Tech focuses on delivering world-class products, enforcing policy compliance, forming strategic partnerships, and building scalable pipelines and self-service tools. The team implements Global Privacy Technology Products to earn customer and associate trust and analyzes customer data to inform business decisions and improve experiences across retail operations through advanced data science techniques.

Minimum Qualifications (Expanded)

See above under Minimum Qualifications for degree and experience prerequisites, including the data engineering and analytics requirements.

Preferred Qualifications (Expanded)

See above under Preferred Qualifications for emphasis on ETL, cloud-scale data work, and accessibility considerations.