Senior Data Engineer

Job Description:

Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating superior customer experience. We’re actively seeking a talented Senior Data Engineer to join our Enterprise data team in Newport Beach, CA. This role can be on-site, hybrid or 100% remote. 

As a Senior Data Engineer, you’ll play a key role in Pacific Life’s growth and long-term success. This position will report to the Data & Technology Manager and will be responsible for delivering data engineering solutions within the newly formed 3rd party data team. These solutions augment and enrich internal Pacific Life data with external 3rd party data. This role brings value by delivering technology and processes that optimize the use of 3rd party data throughout Pacific Life.  

How you will make an impact: 

• Collaborate with architecture, data governance, and business stakeholders to deliver quality data 

• Technically lead and develop data projects using agile methodology 

• Establish fault tolerant data pipelines to bring external data into internal data management platform 

• Enable data literacy and democratization of 3rd party data within Pacific Life 

The experience you will bring: 

• 6+ years of experience in analysis, design, development, and delivery of data  

• 6+ years of experience and proficiency in SQL, ETL, data transformation, and data management tools (Snowflake, Redshift, Informatica, Matillion, DBT, Control-M) 

• Understanding of data engineering best practices and data integration patterns 

• 2+ years of experience with DevOps and CI/CD 

• Ability to effectively communicate & facilitate at a technical level with project stakeholders 

• Understanding of data modeling concepts & best practices 

• Experience leveraging 3rd party datasets to enrich internal company data 

What makes you stand out: 

• 2+ years of experience in Snowflake and Data build tool (DBT), and cloud services 

• Experience with automation, scripting, and testing in data delivery environment  

• Understanding of data catalogs, glossary, data quality, and effective data governance 

• Financial services domain knowledge

• Data driven individual with ability to setup