Senior, Data Engineer (TEST REQ - DO NOT APPLY)

Walmart • Bentonville, AR

1d • $90,000 - $180,000

About The Position

The Senior Data Engineer applies data strategy, sourcing, transformation, integration, modeling, governance, and software development practices to solve business problems. The role identifies fit-for-purpose data sources, performs initial data-quality checks, extracts data, and builds pipelines that transform data into structures relevant to business needs. It translates business problems and requirements into data or mathematical solutions and recommends insights and solutions to stakeholders, including developing business cases for projects with projected return on investment or cost savings.

The position develops and evaluates conceptual, logical, and physical data models, including data warehouse and data mart designs; defines relational tables, keys, and stored procedures; improves data flows; and addresses system-integration challenges. It writes, tests, documents, and deploys code, creates proofs of concept and test cases, maintains playbooks, and provides progress updates. It also establishes and documents data-governance practices, interprets company and regulatory policies, and advises and educates others on governance. The role provides expert guidance, supports business solutions and stakeholder partnerships, and oversees the work of less experienced programmers.

The role is expected to model Walmart’s values and policies, promote respect and inclusion, develop talent, collaborate across teams, act with integrity, put customers and members first, and pursue continuous improvement. The primary location listed is 2501 SE J St, Ste A, Bentonville, Arkansas.

Requirements

• Bachelor’s degree in Computer Science and 3 years of experience in software engineering or a related field; or 5 years of experience in software engineering or a related field; or a master’s degree in Computer Science and 1 year of experience in software engineering or a related field.
• 2 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.
• Master’s degree in Computer Science or a related field and 3 years of experience in software engineering.
• Knowledge of creating inclusive digital experiences and implementing WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

• Identify suitable data sources based on business requirements and service-level priorities, and perform initial data-quality checks on extracted data.
• Extract data from identified databases and build pipelines that transform data into structures relevant to business problems.
• Translate business problems and requirements into data-related or mathematical solutions, identify appropriate methods and tools, and explain how proposed methods address use cases.
• Provide recommendations to business stakeholders on complex issues; develop project business cases with projected return on investment or cost savings; and align project activities with business strategy.
• Analyze data elements, systems, flows, dependencies, and relationships to contribute to conceptual, logical, and physical data models.
• Develop logical and physical data models, including data warehouse and data mart designs; define relational tables, primary and foreign keys, and stored procedures.
• Evaluate data models and physical databases for discrepancies, develop efficient data flows, and propose solutions to data-related system integration challenges.
• Create training documentation and train end users on data modeling.
• Oversee tasks performed by less experienced programmers and provide system-troubleshooting support.
• Write code for required solutions and application features; create test cases and proofs of concept; test code; and deploy software to production servers.
• Document code, maintain playbooks, and provide timely progress updates.
• Establish, modify, and document data-governance projects and recommendations; implement governance practices with stakeholders and peers.
• Interpret company and regulatory data policies, educate others on governance practices and guidelines, and recommend policy or guideline updates.
• Provide expert advice and guidance, build stakeholder relationships, monitor progress and results, and identify improvement opportunities.
• Model compliance with company policies and procedures, Walmart values, ethics, and integrity standards; support an inclusive and collaborative workplace and customer- and member-focused outcomes.

Benefits

• Competitive pay and performance-based bonus awards.
• 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 and Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes.
• Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior