Data Engineering Lead

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You

• Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.

• Love solving complex real-world business problems.

• Recognize that cross-functional collaboration is a core component of success for the team.

• Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.

• Have become a stronger engineer by making mistakes and learning from them.

• Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We

• Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.

• Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.

• Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.

• Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.

• Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.

• Consider our people to be our greatest asset—we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

We are looking for a skilled Data Engineer to focus on maintaining our data engineering platform. This role is critical to ensuring that the platform operates smoothly and efficiently, supporting our data-driven initiatives. The ideal candidate will have a strong background in data engineering and a commitment to team coordination and collaboration.

Key Responsibilities

• Platform Maintenance: Regularly monitor and maintain the data engineering platform to ensure high availability, performance, and reliability.

• Team Coordination: Collaborate with cross-functional teams to gather requirements, troubleshoot issues, and implement solutions that meet business needs.

• Proactive Issue Resolution: Identify and address potential issues before they impact operations, optimizing data pipelines and ensuring data integrity.

• Documentation and Standards: Establish and uphold development standards and documentation practices to facilitate knowledge sharing and onboarding of new team members.

• Mentorship: Provide guidance and support to team members, fostering a collaborative environment that encourages continuous improvement.

Requirements

• 7-10 years of professional experience working in the investment management domain             

• Proven experience with cloud platforms (AWS, Azure) and data warehousing solutions (e.g., Snowflake, Redshift).                                              

• Strong proficiency in programming languages such as Python, Scala, or Go.                                

• Strong skills in ETL tools and frameworks (e.g., Spark, dbt, Kafka).                                      

• Strong experience with data orchestration tools (e.g., Airflow, Prefect).                                            

• Strong experience with databases (e.g., PostgreSQL, MongoDB) and data visualization tools (e.g., QuickSight).                                  

• Excellent communication and collaboration skills, with a focus on team coordination.        

• Strong problem-solving abilities and attention to detail.                                              

• Strong background with DevOps practices and tools (e.g., Docker, Terraform, Kubernetes).                                               

• Knowledge of machine learning techniques and data analysis.

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.