Lead Data Engineer
| Company | Pacific Life |
|---|---|
| Location | Newport Beach, CA, USA, Omaha, NE, USA |
| Salary | $148230 – $181170 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Data Science or Statistics
- 8+ years of experience in analysis, design, development, and delivery of data
- 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools
- Understanding of data engineering best practices and data integration patterns
- 4+ years of experience with DevOps, CI/CD, Git
- Experience in agile methodologies & cloud technologies.
- Effective communication & facilitation; both verbal and written
- Team-Oriented: Collaborating effectively with team and stakeholders
- Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions
Responsibilities
- Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions.
- Help build scalable products with robust security, quality and governance protocols.
- Lead data engineering activities that enable our Sales, Marketing, Distribution, CRM and Advanced Analytic use-cases.
- Design & Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using cloud based technologies.
- Create unit/integration tests and implement automated build and deployment.
- Lead code reviews to ensure standards and best practices.
- Deploy, monitor, and maintain production systems.
- Use the Agile Framework to organize, manage and execute work.
- Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working.
Preferred Qualifications
- Experience with Master Data Management (MDM) and Reference data
- Experience with enterprise data domains such as Customer, Product, or Contract in the Financial Service Industry
- Experience working with Azure Dev Ops (ADO), Snowflake, DBT
- Experience with automation, scripting, and testing in data delivery environment
- Understanding of data catalogs, glossary, data quality, and effective data governance
- Financial Services/Investments/Insurance domain knowledge
- Experience working in complex data systems
- Experience with Customer Data Platforms or Customer 360