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Walmart

Senior Data Engineer

Walmart

. Design, build, and enhance high-performance, reusable frameworks for data pipelines .

Posted 10/5/2026full-timeBentonville • California • United StatesSenior💰 $90,000 - $180,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building scalable data pipelines and big data solutions, utilizing advanced programming skills in Scala and Python, and proficiency in tools like Hadoop and Apache Spark. Strong analytical abilities and experience with AI-assisted development tools enhance the capability to deliver high-quality data solutions.

Highest-signal resume keywords
Data EngineeringHadoopApache SparkScala ProgrammingAI/ML Application

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentBig Data SolutionsSQLData ModelingData Quality ChecksData TransformationBatch Pipeline DesignWorkflow OrchestrationData GovernanceData Integration
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationFast-Paced Environment Adaptability
Tools & Technologies
Apache HiveGCPAzureApache AirflowKafkaBigQueryAI-Assisted Development Tools
Industry Keywords
Data QualityData ApplicationsSupply ChainBusiness IntelligenceBusiness Analytics

Tech Stack

Tools & technologies
AirflowApacheAzureBigQueryCloudGoogle Cloud PlatformHadoopKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Design, build, and enhance high-performance, reusable frameworks for data pipelines
  • Develop and deploy scalable solutions impacting millions of customers worldwide
  • Support International Supply Chain data applications while ensuring data quality and governance
  • Collaborate with Walmart engineering teams across geographies
  • Implement data quality checks, validation, and cleansing processes
  • Translate business requirements into strategies, initiatives, and projects
  • Identify suitable data sources and incorporate external sources when required
  • Build scalable infrastructure for data transformation and integration
  • Automate common, repeatable, and complex data preparation and integration tasks
  • Solve complex business problems and deliver impactful data solutions
  • Use AI-assisted tools for code generation, debugging, optimization, and documentation
  • Apply AI/ML for data profiling, anomaly detection, pipeline optimization, metadata management, schema evolution, lineage tracking, monitoring, observability, and proactive remediation

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field, or 5 years' experience in software engineering or related field, or Master's degree in Computer Science and 1 year's experience in software engineering or related field
  • 2 years' experience in data engineering, database engineering, business intelligence, or business analytics
  • 5+ years of hands-on experience building and delivering scalable data pipelines and big data solutions
  • Strong expertise managing and processing terabyte-scale datasets and beyond
  • Proficiency in Hadoop, Apache Spark, Apache Hive, and cloud platforms (GCP preferred, Azure or equivalent)
  • Experience building optimized, fault-tolerant, SLA-driven batch pipelines
  • Strong programming skills in Scala and Python
  • Experience designing and orchestrating idempotent workflows using Apache Airflow or similar frameworks
  • Advanced SQL skills, preferably BigQuery, Spark SQL, or similar platforms
  • Hands-on experience with Kafka or equivalent streaming platforms
  • Strong data modeling expertise
  • Ability to gather requirements and translate them into scalable data solutions and pipelines
  • Strong analytical and problem-solving skills
  • Ability to deliver high-quality outcomes in a fast-paced environment with minimal ramp-up time
  • Excellent communication and collaboration skills across cross-functional teams and global stakeholders
  • Experience with AI-assisted development tools and techniques

Benefits

Comp & perks
  • Performance-based bonus awards
  • Medical, vision and dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO including sick leave
  • Parental leave
  • Family care leave
  • Bereavement leave
  • Jury duty leave
  • Voting leave
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U Walmart-paid education benefit
  • Tuition, books, and fees completely paid for by Walmart
  • Stock may be included as additional compensation