Senior Data Engineer

Reposted 2 Days Ago
Be an Early Applicant
Bentonville, AR, USA
Hybrid
90K-180K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Develops and deploys data pipelines, models, integrations, and software solutions using big-data technologies. Designs logical and physical data models, data warehouses, and data marts; performs data quality checks and resolves integration issues. Builds and optimizes Spark applications, streaming solutions, ETL workflows, and dashboards. Supports data governance, testing, documentation, production deployment, and end-user training while overseeing less experienced programmers.
Summary Generated by Built In

What you'll do...

Position: Senior Data Engineer 

 

Job Location: 811 Excellence Dr, Bentonville, AR 72716  

 

Duties: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation. Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Supports the documentation of data governance processes. Supports the implementation of data governance practices. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends. Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions. Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports. Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. 

 

Minimum education and experience required: Master’s degree or the equivalent in Computer Science or related field plus 1 year of experience in software engineering or a related field; OR Bachelor’s degree or the equivalent in Computer Science or related field plus 3 years of experience in software engineering or a related field. 

 

Skills Required: Must have experience with: Coding in an object-oriented programming language (Python, Scala or Java); Shell scripting using UNIX/LINUX platforms; Designing and developing ETL data pipelines with big data processing frameworks (Spark, Hadoop, AWS EMR, AWS EC2, AWS S3, AWS Redshift, Azure Data Bricks, Azure Blob Storage, Azure Data Factory, GCP Data Proc); Automating job scheduling using a workflow management platform (Automic, Airflow, Azure Data Factory); Implementing and optimizing Spark applications and related components including Spark Core Engine, Spark SQL, Spark Streaming, MLlib; Data warehouse such as Snowflake, Redshift, Google Big Query; Developing applications using Apache Kafka, Confluent Kafka and Google Pub/Sub streaming processing frameworks; Building interactive dashboards using latest data visualization technologies like Tableau, Power BI, Google Data Studio; Relational Database Management Systems (MySQL, PostgreSQL, JDBC); CICD automation using Jenkins, GitHub actions; and Agile and Waterfall methodologies for project management. Employer will accept any amount of experience with the required skills. 

  Rate of pay: $90,000.00 - 180,000.00/year 

 

Wal-Mart is an Equal Opportunity Employer. 

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Master's degree or equivalent in Computer Science or a related field plus 1 year of experience in software engineering or a related field
  • Bachelor's degree or equivalent in Computer Science or a related field plus 3 years of experience in software engineering or a related field
  • Experience coding in an object-oriented programming language such as Python, Scala, or Java
  • Experience with shell scripting on UNIX or Linux platforms
  • Experience designing and developing ETL data pipelines with big-data processing frameworks and cloud data services
  • Experience automating job scheduling using a workflow management platform such as Automic, Airflow, or Azure Data Factory
  • Experience implementing and optimizing Spark applications and related components, including Spark Core, Spark SQL, Spark Streaming, and MLlib
  • Experience with data warehouses such as Snowflake, Redshift, or Google BigQuery
  • Experience developing streaming applications using Apache Kafka, Confluent Kafka, or Google Pub/Sub
  • Experience building interactive dashboards using Tableau, Power BI, or Google Data Studio
  • Experience with relational database management systems such as MySQL or PostgreSQL and JDBC
  • Experience with CI/CD automation using Jenkins or GitHub Actions
  • Experience with Agile and Waterfall project management methodologies

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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