Senior Data Engineer Machine Learning

Date: Sep 21, 2022

Location: Irvine, CA, US, 92618

Company: Capital Group

Req ID: 50242 

Location: Irvine, CA 

Other location(s): N/A 

Relocation benefits offered: Yes 

Travel required: None 


“I can be myself at work.”


You define yourself by more than just a job title, and we want you to feel comfortable bringing your true self to work. We value your talents, your traditions and your take on the world  ̶  everything that makes you unique. We’re working hard to advance diversity, equity and inclusion in our organization and our communities because we know that what makes us different makes us better.


We want you to feel a strong sense of belonging. We value and welcome your experiences, ideas and identity. Over 40 employee resource groups unite our people and help to develop our collective empathy through unfiltered conversations about race, ethnicity, gender, gender identity, sexual orientation, faith, disabilities, mental health and so much more.


“I can influence my income.”


You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will be the equivalent of 15% of your annual pay (including bonuses).


“I can lead a full life.”


You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones


NOTE: We value flexibility and have a menu of options for our associates to leverage to help set up their work-life balance.  Our associates enjoy a hybrid approach with three days in the office on a weekly basis. We encourage you to discuss the specific guidelines for your role throughout your interview process.


“I can succeed as a Senior Data Engineer at Capital Group.”


 As a Senior Data Engineer, you will contribute to the creation of a best-in-class DataOps function to support a data supply chain that provides for Capital’s data and analytics needs across its lines of business. You will provide leadership on defining data operations processes and support model, work with complex data pipelines, big data platforms hosted in the cloud, and provide innovative ways to operate and support complex data delivery solutions. You will also contribute to our goal of operational excellence through leadership, rigorous analysis, continuous improvement, and influencing enhancement decisions that reduce friction and increase reliability, while influencing and developing a thorough understanding of standards and best practices used by your team.


“I am the person Capital Group is looking for.”


  • You have a bachelor’s degree in Computer Science, Mathematics, Statistics, or another technical field
  • You have at least 8 years of experience in Data Engineering
  • You have advanced quantitative experience such as business intelligence, big data platforms, reporting, analytics, machine learning, and database development, which demonstrate your ability to support and operate complex technical solutions
  • You have a strong background in backend system architecture patterns and technologies such as:(Modern distributed systems design patterns, Microservices and Serverless design paradigms)(SQL/ NOSQL databases)(RESTful APIs, cloud-based/enterprise-grade message brokers or streaming platforms)(Container orchestration systems (Docker, Swarm, Kubernetes)
  • You have advanced knowledge of technical and functional designs for SQL, databases, ETL, data pipelines, data warehousing, data lakes, and data modeling
  • You have demonstrated understanding of Microsoft Azure, AWS or other cloud platforms
  • You have experience working on an Machine Learning Platform, like Databricks ML/ Sage Maker, Kubeflow and understand the use of a Feature store, Model Management and ML Ops


“I can apply in less than 4 minutes.”


You’ve reviewed this job posting and you’re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn’t what you’re looking for, check out our other opportunities and join our talent community.


“I can learn more about Capital Group.” 


At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 7,800 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Glassdoor, FairyGodBoss, DiversityJobs and Instagram.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. 



Nearest Major Market: Irvine California
Nearest Secondary Market: Los Angeles

Job Segment: Database, SQL, Data Warehouse, Computer Science, Learning, Technology, Human Resources