Design, build, and optimize scalable cloud data pipelines and infrastructure. Maintain and refactor SQL and ETL processes, automate data workflows, ensure data quality/security, and troubleshoot complex issues. Provide technical leadership and mentor junior engineers while collaborating with stakeholders to translate requirements.
Summary:
The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based data infrastructure. This role is critical to managing and organizing structured and unstructured data across the organization to enable outcomes analysis, insights, compliance, reporting, business intelligence, and data science. The Senior Engineer ensures data quality, security, and performance across platforms while providing technical leadership and mentorship to junior engineers.
Essential Duties & Responsibilities:
- Design and build efficient, scalable data pipelines using cloud services
- Maintain and refactor complex SQL and ETL processes in enterprise data platforms
- Develop automation scripts, APIs, and infrastructure components
- Collaborate with architects, analysts, and stakeholders to translate requirements
- Ensure strong data quality, integrity, and security controls across platforms
- Troubleshoot complex data issues and lead root cause analysis
Skills & Competencies:
- Advanced SQL and strong data modeling expertise
- Proficiency in Python or JVM languages for data engineering and automation
- Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures
- Strong analytical reasoning and problem-solving abilities
- Ability to lead delivery efforts and mentor junior team members
- Clear communication skills with the ability to explain technical concepts to non-technical audiences
- Ability to work independently and collaborate effectively in cross-functional environments
Minimum Qualifications:
- Bachelor’s degree in Information Systems, Computer Science, Data Management, or related field preferred
- 5–8 years of experience in data engineering or a similar role
- Strong SQL skills and deep knowledge of relational databases and data warehousing
- Proficiency in Python or JVM languages (e.g., Java, Scala, Kotlin) for data manipulation and automation
- Hands-on experience with cloud data platforms (e.g., AWS, Azure, or GCP)
- Solid understanding of ETL/ELT processes, data modeling, and data architecture
- Track record of owning and leading technical projects
- Experience with Agile methodologies and version control
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Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
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