Data Engineer

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., a growing technology company in Riverside, CA, specializing in data analytics and software solutions, seeks a Data Engineer for a FULL_TIME position. The salary range is $130,000 - $187,130.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure. You will collaborate with data science and engineering teams to ensure data accuracy, reliability, and accessibility.

You will join our team in Riverside, California, where you'll experience a dynamic work environment that fosters innovation and collaboration. Our company culture is built on these core values, encouraging employees to think creatively and work together to achieve common goals. The city of Riverside offers a vibrant atmosphere with a mix of urban and suburban elements, providing a pleasant setting for both work and leisure. You'll have the opportunity to contribute to our innovative projects and collaborate with a diverse team of professionals. Our workplace is designed to support creativity and teamwork, with open spaces and flexible work arrangements that cater to different needs and preferences. Riverside is known for its beautiful parks, cultural attractions, and outdoor activities, offering a well-rounded lifestyle that complements your professional life.

The salary range is $130,000 - $187,130. We offer a comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.

You must have a Bachelor's degree in Computer Science, Data Science, or a related field. Experience with data pipeline tools like Apache Airflow, Python, and SQL is required. Knowledge of cloud platforms such as AWS or GCP is a plus.

What you will do:

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

What we need:

1. Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience.
2. 3+ years of experience as a Data Engineer or similar role.
3. Strong programming skills in Python, SQL, and Java.
4. Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
5. Knowledge of cloud platforms like AWS, Azure, or GCP.
6. Understanding of data modeling and ETL processes.