Senior Data Engineer: Scalable Big Data Pipelines

StartupNWA; Bentonville (AR); On-site; USD 127,000 - 220,000; Full time

Benefits offered by this job

Health benefits

401(k) + stock purchase

Paid time off

Job summary

Walmart is seeking a Staff Data Engineer in Bentonville to own and advance large-scale data pipelines across multiple data sources. The role emphasizes building scalable ETL processes using Hadoop, Spark, Hive, and Databricks, with strong focus on data quality and governance.

You will work with cloud platforms (GCP/AWS/Azure), lead data modeling efforts, and partner with business teams to translate requirements into robust data solutions.

Qualifications

• Bachelor's degree in Computer Science or related field; minimum required.
• 4+ years of software engineering or related experience.
• Experience with designing scalable, distributed data pipelines.

Responsibilities

• Design and implement highly scalable data pipelines and ETLs.
• Develop, test, and maintain data transformations and data models.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Ensure data quality, governance, and reliability across platforms.

Skills

Big data pipelines

Hadoop/Hive/Spark/Databricks

ETL development

SQL/Spark SQL

Airflow/Oozie/Autosys

Cloud platforms (GCP/AWS/Azure)

Parquet/AVRO/JSON/CSV

Data governance

Data modeling

Data quality checks

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Hadoop

Hive

Spark

Databricks

Snowflake

Looker/Tableau/Power BI

Google Cloud

AWS

Azure

Job description

Walmart is seeking a Staff Data Engineer in Bentonville to own and advance large-scale data pipelines across multiple data sources. The role emphasizes building scalable ETL processes using Hadoop, Spark, Hive, and Databricks, with strong focus on data quality and governance.

You will work with cloud platforms (GCP/AWS/Azure), lead data modeling efforts, and partner with business teams to translate requirements into robust data solutions.