Senior Data Engineer

Walmart

Quick summary

Work type: On-site
Location: Reston, VA
Salary: $155,938–$180,000 / yr
Posted: 2 days ago
Closes: Jul 7, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $168k

$125k most similar roles pay here $224k

This role pays less than 51% of similar roles. Most pay $135,000–$202,796 — the shaded band above. At the midpoint, this role pays about $168k versus about $169k 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.

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At a glance

TL;DR · Senior Data Engineer

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As a Senior Data Engineer at our Reston office, you will join a dynamic team focused on advancing data strategy and governance within the organization. Your primary responsibilities include developing robust data pipelines using Apache Spark for both batch and stream processing, extracting data from diverse sources such as GCP, REST APIs, RDBMS, and NoSQL databases, and building efficient data models to support complex business problems. You will work with technologies like Hadoop, Hive, Elasticsearch, MongoDB, and GCP BigQuery, leveraging Scala, Python, or Java for code development. Additionally, you will contribute to CI/CD processes using Docker and Jenkins, manage real-time data pipelines with Kafka and Spark Streaming, and ensure adherence to data governance practices by educating stakeholders on policies and guidelines. This role demands expertise in data transformation, integration, and modeling, as well as a strong understanding of current trends in data science and analytics.

Skills

Apache_Spark Python Scala Java GCP REST_APIs RDBMS NoSQL MongoDB Elasticsearch Hadoop Hive Kafka Spark_Streaming CI/CD Docker Jenkins Airflow Automic

What you'll do

Develops data pipelines using Apache Spark for batch and stream processing.
Extracts data from various sources including REST APIs, RDBMS, NoSQL databases.
Designs logical and physical data models, defining tables and stored procedures.
Implements CI/CD processes with Docker and Jenkins for software deployment.
Builds real-time data pipelines using Kafka and Spark Streaming technologies.
Conducts initial data quality checks and performs data transformation tasks.

What we're looking for

3+ years of experience in software engineering or related field.
Proficiency in Apache Spark for stream/batch data processing and ETL pipelines.
Experience building frameworks to extract data from diverse sources like GCP, REST APIs, RDBMS, NoSQL.
Expertise in Hadoop, Hive, MongoDB, Elasticsearch, GCP BigQuery, and other big data technologies.
Skilled in real-time data pipeline development using Kafka and Spark Streaming.
Knowledge of data modeling, migration protocols, and scheduling tools like Airflow.
Strong background in CI/CD practices with Docker and Jenkins.

Hybrid

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