Senior Data Engineer

Walmart

Quick summary

Work type: On-site
Location: Sunnyvale, CABentonville, AR
Salary: $117,000–$234,000 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $167k

This role $176k

$98k most similar roles pay here $249k

This role pays more than 64% of similar roles. Most pay $135,000–$198,800 — the shaded band above. At the midpoint, this role pays about $176k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 290 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 282 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Senior Data Engineer

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As a Senior Data Engineer on the eComm Decision Sciences BI team, you will design and maintain scalable data pipelines and models to support critical business decisions in the eCommerce domain. Your responsibilities include applying advanced data modeling techniques, ensuring compliance with data governance standards, and automating workflows using tools like Apache Airflow. You will collaborate closely with stakeholders to translate complex business requirements into technical solutions that enhance data quality and accessibility. The role requires expertise in SQL, cloud-based platforms such as Snowflake or BigQuery, and a deep understanding of ETL/ELT processes. This position demands strong analytical skills and the ability to drive operational excellence through robust engineering practices within a large-scale, dynamic environment.

Skills

SQL Snowflake Azure Google BigQuery Apache Airflow ETL Data Governance Cloud-Based Data Platforms Data Modeling CI/CD Automation Tools Analytics Large Data Sets

What you'll do

Design and develop scalable data pipelines using SQL and cloud-based platforms.
Apply advanced data modeling techniques to support business intelligence needs.
Ensure compliance with data governance and quality standards through rigorous practices.
Translate complex business requirements into technical data solutions aligned with strategic goals.
Automate data workflows using tools like Apache Airflow for efficiency optimization.

What we're looking for

Proven expertise in data engineering, including integration, modeling, and pipeline development.
Strong proficiency in SQL and experience with cloud-based data platforms like Snowflake or BigQuery.
In-depth knowledge of data governance, quality standards, and management best practices.
Experience designing scalable data architectures and implementing ETL/ELT processes.
Ability to translate complex business requirements into effective technical solutions.
Familiarity with automation tools such as Apache Airflow for workflow optimization.
2+ years' experience in data engineering, database engineering, or related field.

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