Senior Data Engineer

Reposted Yesterday
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Bentonville, AR, USA
Hybrid
108K-180K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Designs and builds data pipelines, transforms and integrates data, and develops logical and physical data models (data warehouse/data mart). Translates business needs into data solutions, implements governance, writes and tests code, documents playbooks, and mentors junior engineers while partnering with stakeholders to deliver analytics-ready data and business insights.
Summary Generated by Built In

What you'll do...

Position: Senior Data Engineer

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Data Source Identification: Supports 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. Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends. Tech. Problem Formulation: Translates/co-owns business problems within one's discipline to data related or mathematical solutions. Identifies appropriate methods/tools to be leveraged to provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Understanding Business Context: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Identifies and recommends relevant business insights pertaining to their area of work. Data Modeling: 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. Code Development and Testing: Writes code to develop 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. Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.

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 related experience; OR Bachelor’s degree or the equivalent in Computer Science or related field plus 3 years of experience in software engineering or related experience.

Skills required: Must have experience with: Translating product vision into product strategy and roadmaps; Conducting end user research to identify user stories and to determine Minimum Viable Product (MVP); Evaluating research and market analysis on industry innovations and technology platforms; Establishing product goals, metrics, and analytics to measure product value outcomes; Leading requirements gathering activities to gather and validate business needs; Applying Agile methodologies to research and define user problem statements, use cases, and functional requirements; Translating and documenting requirements in the PRD, BRD, epics, features, persona journey maps, user stories and acceptance criteria format; Conducting user acceptance testing and product demo sessions as part of an iterative development process to ensure the deliverables fulfill specified acceptance criteria and achieve business requirements; Designing and implementing RDBMS Database; Utilizing SQL queries and stored procedures to extract data from databases and perform data analysis; Tracking application progress with JIRA; Documenting product information and providing solutions using Confluence. Employer will accept any amount of experience with the required skills.

Rate of pay: $107,744.00 - 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 in Computer Science or related field plus 1 year of software engineering experience OR Bachelor's degree plus 3 years of software engineering experience
  • Experience translating product vision into product strategy and roadmaps
  • Conducting end user research to identify user stories and determine MVP
  • Evaluating research and market analysis on industry innovations and technology platforms
  • Establishing product goals, metrics, and analytics to measure product outcomes
  • Leading requirements gathering and applying Agile methodologies
  • Translating and documenting requirements in PRD, BRD, epics, features, user stories, and acceptance criteria
  • Designing and implementing RDBMS databases; utilizing SQL queries and stored procedures to extract and analyze data
  • Developing data models, including logical and physical models, and designing data warehouse and data mart structures
  • Developing data pipelines, performing data transformation and integration, and deploying solutions to production
  • Tracking application progress with Jira and documenting product information using Confluence

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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