Data Engineer (Pasadena, CA)

Data Engineer

Role Overview

We are partnering with an established organization looking for a Data Engineer to develop and enhance the technology that supports its data operations. This is a hands-on opportunity for someone who enjoys building reliable data solutions, improving existing systems, and making complex information easier for teams to access and use.

You'll work with modern data technologies to develop pipelines, streamline data processing, and improve the quality and availability of information across different applications. The role combines practical engineering with problem-solving, offering the opportunity to contribute to both new initiatives and improvements to existing data systems.

We're looking for someone who can take ownership of technical challenges, work effectively with different stakeholders, and build solutions that are efficient, scalable, and easy to maintain. Strong experience with Python, SQL, and Databricks is essential, along with a solid understanding of cloud-based data engineering.

Key Responsibilities

• Develop and maintain data pipelines that support reporting, analytics, and business operations
• Build efficient processes for collecting, organizing, and transforming data from multiple sources
• Improve existing data workflows to enhance performance, reliability, and maintainability
• Create automated processes that reduce manual intervention and improve data consistency
• Develop solutions that support accurate, accessible, and well-organized datasets
• Partner with technical teams to improve data storage, processing, and integration capabilities
• Collaborate with business stakeholders to understand information needs and develop practical solutions
• Identify and resolve issues affecting data accuracy, processing, and system performance
• Support cloud-based data environments and modern data architecture initiatives
• Apply appropriate data protection, access control, and quality standards
• Evaluate opportunities to use automation and emerging technologies to improve data operations
• Document technical solutions and contribute to consistent engineering practices

Education & Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field
• Hands-on experience developing and maintaining data pipelines in a production environment
• Experience with Databricks for data processing, transformation, and pipeline development
• Strong programming skills in Python or a comparable language
• Proficiency in SQL and experience with relational and non-relational databases
• Experience developing and optimizing ETL/ELT processes
• Understanding of data modeling, data transformation, and modern data architecture
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with distributed data processing technologies such as Apache Spark
• Knowledge of data quality, governance, and security practices
• Ability to develop reliable, maintainable solutions for complex data requirements
• Strong troubleshooting, analytical, and communication skills
• Ability to work independently and collaborate with cross-functional teams
• Must currently reside in Southern California

Preferred Experience

• Master's degree in Data Science or a related field
• Experience with workflow orchestration and scheduling tools
• Familiarity with Microsoft Fabric
• Experience with business intelligence platforms such as Power BI or Tableau
• Exposure to containerization technologies such as Docker or Kubernetes
• Familiarity with AI applications, intelligent automation, or machine learning workflows
• Experience improving data pipeline monitoring, reliability, and operational efficiency

Why Our Client

• Work on meaningful data engineering initiatives that support business operations
• Gain hands-on experience with modern cloud and data processing technologies
• Contribute to improvements in data reliability, accessibility, and performance
• Collaborate with technical professionals and business stakeholders across the organization
• Take ownership of engineering challenges and help develop practical, long-term solutions
• Explore opportunities to improve existing workflows through automation and emerging technologies
• Expand your technical expertise while contributing to a growing and evolving data environment

Location: Pasadena, CA (Onsite)