Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.
Key Responsibilities
Data Engineering Support
- Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows.
- Work closely with senior engineers to understand solution design, data architectures, and coding best practices.
- Participate in development, testing, and deployment activities under guidance.
Collaboration & Communication
- Work with cross-functional teams to gather requirements and understand business needs.
- Communicate progress, challenges, and technical concepts clearly to team members.
- Support documentation of data processes, workflows, and technical specifications.
Learning & Continuous Improvement
- Continuously enhance technical skills in cloud technologies, SQL, and programming.
- Adopt best practices in coding, testing, and version control.
- Contribute ideas for improving processes and overall solution quality.
Must-Have Skills
- Strong understanding of data engineering fundamentals, SQL, and data processing concepts.
- Basic knowledge of cloud services (AWS/Azure/GCP) and data tools.
- Familiarity with Python or PySpark for data manipulation.
- Solid problem-solving and analytical abilities.
- Eagerness to learn new technologies and work in an Agile environment.
Good communication and teamwork skills
ResponsibilitiesKey Responsibilities
Data Engineering Support
- Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows.
- Work closely with senior engineers to understand solution design, data architectures, and coding best practices.
- Participate in development, testing, and deployment activities under guidance.
Collaboration & Communication
- Work with cross-functional teams to gather requirements and understand business needs.
- Communicate progress, challenges, and technical concepts clearly to team members.
- Support documentation of data processes, workflows, and technical specifications.
Learning & Continuous Improvement
- Continuously enhance technical skills in cloud technologies, SQL, and programming.
- Adopt best practices in coding, testing, and version control.
- Contribute ideas for improving processes and overall solution quality.
Must-Have Skills
- Strong understanding of data engineering fundamentals, SQL, and data processing concepts.
- Basic knowledge of cloud services (AWS/Azure/GCP) and data tools.
- Familiarity with Python or PySpark for data manipulation.
- Solid problem-solving and analytical abilities.
- Eagerness to learn new technologies and work in an Agile environment.
Good communication and teamwork skills
Qualifications- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
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What you need to know about the Los Angeles Tech Scene
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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- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
