(USA) Senior, Data Engineer

Walmart

5d•$90,000 - $198,000•Onsite

About The Position

Role summary: As a Senior Data Engineer at Walmart, you will build and optimize scalable data pipelines and models that power critical business insights. You’ll leverage cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, high‑quality assets. Partnering closely with cross‑functional teams, you’ll translate business needs into robust technical solutions that improve data accessibility, performance, and governance. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to drive innovation within a fast‑moving enterprise environment. About the team: We’re a small but high‑impact Data Engineering team building the data foundations that power measurement and feature innovation for our advertising products. Operating at the intersection of engineering, analytics, and product strategy, we deliver scalable pipelines and accurate performance insights that drive data‑informed decisions. Our agility and end‑to-end ownership set us apart—we move quickly, collaborate closely across functions, and build systems that directly influence how advertisers measure success and how new ad features evolve. If you want to build reliable, scalable data systems with visible impact, this is the team for you.

Requirements

Extensive experience in data engineering, including scalable pipeline development, data integration, and modeling.
Strong proficiency in SQL, Python, PySpark, Databricks, and workflow orchestration with Airflow.
Solid understanding of cloud platforms, especially Google Cloud Platform.
Hands‑on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.
Strong grounding in data governance, data quality, and compliance best practices.
Ability to design resilient data architectures across warehouses, lakes, and streaming systems.
Proven skill in translating complex business needs into effective data solutions.
Familiarity with machine learning concepts and how they integrate with data engineering workflows.
A passion for finding ways to integrate AI and LLMs into daily engineering activities and products, while not compromising simplicity and code maintainability.
Option 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field.
Option 2: 5 years’ experience in software engineering or related field.
Option 3: 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.

Nice To Haves

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud
Master’s degree in Computer Science or related field and 3 years' experience in software engineering
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

Design and build scalable data pipelines and models using Databricks, PySpark, and SQL.
Integrate and transform data from multiple sources with strong quality, observability, and governance.
Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.
Develop and maintain infrastructure using Terraform and support DevOps tasks such as deployments, monitoring, and environment management.
Optimize pipelines for reliability, performance, and cost across cloud environments.
Collaborate with Product, Data Science, and Engineering teams to deliver reliable, scalable, and efficient data solutions.

Benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
The amount you receive depends on your job classification and length of employment.
It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.