(USA) Senior, Data Engineer
About The Position
Walmart is seeking a Senior Data Engineer to build and maintain scalable data solutions supporting business analytics and reporting. The role involves data integration, modeling, and pipeline development; translating business requirements into technical solutions; and ensuring data quality, governance, and compliance with organizational standards and regulatory requirements. The engineer will use modern cloud and big data technologies to optimize data integration, storage, and transformation, and contribute to innovation in data architecture and automation. The role is part of the Global Data Foundation (GDF) team, which manages and delivers high-quality data assets by establishing standards and ensuring policy compliance. The team develops scalable, cloud-native data pipelines and self-service tools, applying data architecture and engineering principles to solve complex challenges and provide reliable data solutions for stakeholders across the organization.
Requirements
- Meet one of the following software engineering or related-field education and experience options: a bachelor's degree in Computer Science and 3 years of experience; 5 years of experience; or a master's degree in Computer Science and 1 year of experience.
- At least 2 years of experience in data engineering, database engineering, business intelligence, or business analytics.
- Extensive experience in data engineering, including data integration, modeling, and pipeline development.
- Proficiency in SQL, Python, Apache Spark, and Apache Airflow.
- Strong knowledge of data governance, data quality standards, and data management practices.
- Expertise with cloud platforms and environments such as Google Cloud Dataproc, BigQuery, and Databricks.
- Ability to design and optimize data warehouses, data lakes, and enterprise data platforms.
- Ability to translate business requirements into data architectures and technical solutions.
- Experience with DevOps practices for data infrastructure deployment and maintenance.
Nice To Haves
- Experience in data engineering, database engineering, business intelligence, or business analytics.
- Experience with ETL tools and working with large data sets in the cloud.
- A master's degree in Computer Science or a related field and 3 years of experience in software engineering.
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices, including integrating accessibility into digital products and services.
Responsibilities
- Design, develop, and maintain scalable data pipelines and infrastructure for business analytics and reporting.
- Integrate and transform internal and external data using ETL and streaming techniques.
- Develop and optimize data models while ensuring data quality, governance, and compliance with organizational standards.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Implement and monitor data ingestion processes using cloud platforms and big data technologies.
- Write, test, and deploy efficient code using SQL, Python, and Apache Spark.
- Identify opportunities to improve data systems and workflows.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes.
- Live Better U education benefit, with tuition, books, and fees paid for eligible programs.
- Performance-based bonus awards and additional annual or quarterly performance bonuses.
- Stock may be included as additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
