Data Engineer: Build Pipelines, Cloud Infra & Impact

Vantage Valley Inc.; Riverside (CA); On-site; USD 130,000 - 187,000; Full time

Job summary

Vantage Valley Inc. in Riverside, CA is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure.

The role requires collaboration with data science and engineering teams to ensure data accuracy and accessibility, leveraging Python and SQL across on‑premises and cloud environments. The position emphasizes data modeling, ETL processes, and keeping pace with evolving technologies.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience as a Data Engineer or similar role.
• Strong programming skills in Python, SQL, and Java.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Knowledge of cloud platforms like AWS, Azure, or GCP.
• Understanding of data modeling and ETL processes.

Responsibilities

• Design and implement data pipelines to collect, process, and store data from various sources.
• Develop and maintain data infrastructure, including databases, data warehouses, and cloud-based services.
• Collaborate with data scientists to translate business requirements into technical solutions.
• Optimize data processing workflows to improve performance and efficiency.
• Monitor and troubleshoot data issues to ensure data integrity and availability.
• Stay up-to-date with emerging technologies and industry best practices.

Skills

Data Pipeline Design

Collaboration

Problem Solving

Data Engineering

Education

Bachelor's degree in Computer Science or Data Science

Tools

Apache Airflow

Python

SQL

Java

Hadoop

Spark

Job description

Vantage Valley Inc. in Riverside, CA is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure.

The role requires collaboration with data science and engineering teams to ensure data accuracy and accessibility, leveraging Python and SQL across on‑premises and cloud environments. The position emphasizes data modeling, ETL processes, and keeping pace with evolving technologies.