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Data Engineer – Self Service Analytics, Time Data Platforms
Job in
Burbank, Los Angeles County, California, 91520, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
Data Engineering, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Responsibilities
- Help build scalable data products, semantic layers, and real-time data platforms
- Develop solutions that power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences
- Design, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines
- Enable self-service analytics through governed and reusable business data models
- Implement monitoring, observability, and operational best practices
- Develop governed data access patterns for AI, conversational analytics, and MCP-based applications
- Build AI-ready data products that support machine learning, GenAI, AI agents, and chatbot applications
- Partner with Product, Analytics, BI, and Engineering stakeholders to deliver trusted data solutions
- Design scalable data models optimized for analytics, real-time reporting, and AI use cases
- Drive best practices for data quality, governance, metadata, and discoverability
- 2–4+ years of experience building and scaling ETL/ELT pipelines in production environments
- Proven experience with workflow orchestration tools such as Airflow, Composer, or similar platforms
- Working knowledge of distributed data processing concepts
- Expert-level SQL skills for large-scale transformation and analytics
- Experience designing scalable warehouse schemas and ML-ready data layers
- Proven experience optimizing complex queries across multi-terabyte datasets
- Proficiency in Python (or similar language) for data processing and ML pipeline integration
- Experience with distributed processing frameworks such as Spark
- Experience integrating data pipelines with ML platforms such as Vertex AI (preferred), Databricks ML, or equivalent
- Experience building real-time data pipelines using Kafka, Pub/Sub, or similar technologies
- Knowledge of feature streaming, low-latency data processing, and event-driven architectures
- Excellent problem-solving skills with the ability to work in dynamic, high-velocity environments
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
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