> Markdown version of [/jobs/ext/471339-lead-data-engineer-investments](https://www.wearedevelopers.com/jobs/ext/471339-lead-data-engineer-investments). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer- Investments - **Company:** Pacific Life Insurance Company - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $138,150.0 - $168,850.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Code Review, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Systems, Software Design Documents, DevOps, Python (Programming Language), Scrum Methodology, DataOps, SQL Databases, SQL Server Integration Services, Informatica Powercenter, Snowflake, Git, Build Management, Integration Tests, Information Technology, Integration Frameworks, Data Management, Data Pipelines - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=91759d039799bf62 ## About the Role Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Data Science or Statistics * 7+ years of experience in analysis, design, development, and delivery of data * 7+ 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 * 2+ years of experience with DevOps and CI/CD * 1+ years of experience (not just POC) in using Git and Python * Agile Scrum work experience * 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 What makes you stand out: * Investments or FINTECH domain knowledge preferred * Strong Data analysis skills and /or data mining experience * Experience with one or more Integration tools (Matillion, Informatica, SQL SSIS, DBT) * Experience with Snowflake and DBT * Works independently with minimal guidance. #LI-SD ## Description Unlock the Power of Data at Pacific Life. We're seeking talented Lead Data Engineer to join our Pacific Life Investments Data Team onsite in Charlotte, North Carolina. This is not a remote position. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Lead Data Engineer you'll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the Investments data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: * 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. * Create low-level design artifacts, including mapping specifications. * Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. * Create unit/integration tests and implement automated build and deployment. * Participate in 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. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)