(USA) Staff, Data Engineer
About The Position
The Staff, Data Engineer will design, develop, and maintain scalable data infrastructure and pipelines that support business analytics and decision-making. The role translates complex business requirements into effective data solutions while ensuring data quality, governance, and compliance with regulatory standards. It collaborates across domains to optimize data integration, storage, and transformation using modern cloud and big data technologies, and advances data architecture and automation to enable actionable insights aligned with organizational strategies and operational goals. The position is part of Walmart’s Global Data Foundation (GDF) team, which manages and delivers high-quality data assets by establishing standards and ensuring policy compliance. The team builds scalable, cloud-native data pipelines and self-service tools, applies advanced data architecture and engineering principles, and collaborates to solve complex challenges and support long-term business objectives.
Requirements
- Proven data engineering expertise, including data ingestion, transformation, and pipeline development using tools such as Apache Airflow and Apache Spark.
- Strong proficiency in SQL and experience with data storage solutions including data lakes and warehouses.
- Experience with cloud platforms, particularly Google Cloud Dataproc, and scalable data architectures.
- Knowledge of data governance principles, data quality frameworks, and regulatory compliance related to data privacy and security.
- Ability to translate complex business requirements into technical solutions aligned with organizational strategy.
- Skill in Python programming and DevOps practices to support data infrastructure and automation.
- One of the following: a bachelor's degree in Computer Science and 4 years of experience in software engineering or a related field; 6 years of experience in software engineering or a related field; or a master's degree in Computer Science and 2 years of experience in software engineering or a related field.
- 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
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 4 years of experience in software engineering or a related field.
- Knowledge of creating inclusive digital experiences and implementing WCAG 2.2 AA standards.
- Knowledge of assistive technologies and digital accessibility best practices.
Responsibilities
- Design, develop, maintain, and optimize scalable data pipelines and architectures for business analytics and reporting.
- Collaborate with cross-functional teams to translate business requirements into data engineering solutions.
- Implement data governance practices that ensure data quality, security, and regulatory compliance.
- Design and build data models and storage solutions across cloud platforms, using tools such as Apache Spark and Google Cloud Dataproc.
- Automate data ingestion, transformation, and integration using orchestration frameworks such as Apache Airflow.
- Monitor and troubleshoot data infrastructure performance and reliability to ensure continuous availability.
- Provide technical guidance and mentorship to junior team members on data engineering best practices.
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, jury duty, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates.
- Performance-based bonus awards and 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
