(USA) Senior, Data Engineer

Wal-Mart•Sunnyvale, CA

52d•$90,000 - $234,000•Onsite

About The Position

Do you love turning complexity into clarity? Have you ever wondered how millions of data points become meaningful decisions? We'd love to put your data storytelling and visualization skills to work. Working with engineering to implement, document, validate, and monitor logging and metrics. Craft simple, dependable data pipelines and automated reporting to surface metrics. Identifying, translating, prioritizing, and informing important product questions with data. Designing, building, and maintaining ETL pipeline of analytical data warehouse. Exploring data to find actionable insights and make product recommendations through funnels, long-term trends, segmentation, and more as necessary. Designing and building intuitive dashboards and generate daily reports Working with a collaborative team made up of engineering, UX, product management, along with web and technology evangelists, to rapidly iterate new products and site features at scale. Providing and supporting the implementation of business solutions applying data modeling, SQL, and data warehousing skills. Applying fluency in SQL, as well as a deep understanding of statistical analysis, and common pitfalls of data analysis. Helping design and drive meaningful improvements and optimizations for the checkout experience. This position does not supervise employees.

Requirements

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.
You have experience working with large, complex, multi-dimensional datasets.
You have experience working with data ingestion techniques.
You have designed and developed ETL data pipelines.
You have experience standardizing and automating ETL processes using scripting and reporting to surface metrics.
You have worked with Big Data and Hadoop technologies.
You have written Hive queries to pull data from complex data sources.
You have experience with data modeling and data warehousing.
You have experience with SQL, and you can demonstrate knowledge of statistical analysis and data analysis.
You have experience building dashboards using tools such as Tableau, Looker, Power BI, Streamlit, React etc.
You have experience automating manual reports to minimize manual efforts and optimizing dashboards to make them more intuitive and efficient.
You have experience deep diving into data to find actionable insights and make product recommendations through funnels, long-term trends, and segmentation.

Responsibilities

Own and optimize automated data pipelines to ensure reliable, timely, and scalable delivery of insights across the business.
Transform massive, complex datasets into lean, high-performance structures tailored for use in dashboarding tools like Tableau, Power BI, or Looker.
Design visually compelling, executive-facing dashboards that inform key weekly and monthly business reviews across leadership teams.
Build dashboards that act as decision accelerators - helping stakeholders quickly identify gaps, outliers, and the next best action.
Introduce process rigidity and governance to ensure repeatability, transparency, and reduced friction across analytics workflows.
Develop tools to detect and communicate anomalies and trend shifts, enabling faster root cause analysis and reduced time-to-remediation.
Drive a culture of data storytelling, turning complex signals into clear, actionable narratives that influence strategy.

Benefits

Beyond competitive pay, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
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.
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.

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