Manager of Data Engineering

"I can succeed as a Data Engineering Manager at Capital Group." As a Data Engineering Manager with an agile mindset, you will contribute to the design, implementation, and delivery of large-scale, critical, and complex data architecture, storage, and pipelines. You will build enterprise distributed data processing systems and data lakes, optimizing both computational and storage efficiencies on cloud platforms. You will live by the motto: “you ship it, you own it,” by providing and receiving constructive code reviews and taking ownership of outcomes. Your data insights will drive business decisions that improve the lives of millions of people, every single day. "I am the person Capital Group is looking for." You have a bachelor’s degree in Computer Science, Engineering or a related technical field You have 12+ years of experience with agile software development while ensuring disciplined engineering practices are followed with a relentless focus on quality, test driven development, controlled and automated build and releases, code management etc. You have experience working on a cloud platform like Microsoft Azure Cloud or AWS or GCS (AWS Preferred) You have led a team of 5+ members to deliver high-quality data products. Engineering: You have strong experience in various data systems and structures (i.e., SQL, NoSQL, Key-Value, Streams); your expertise includes building ETL data pipelines using Python and Pyspark and orchestration tools like Apache Airflow, Luigi, etc. You're thoughtful in your approach to ensuring software engineering best practices are established, understood, and adopted by the teams you lead. You have hands-on experience building automated deployments using tools like Harness and leading technology strategy and architecture to enable a future-ready, high-quality, and responsive code base. You understand the importance of implementing end-to-end monitoring & alerting solutions, and utilization of data processing technologies (i.e., Hadoop, Apache Spark, AWS Glue, and Kafka) You have proven experience building software solutions in the and have fluency in Python Cloud Platform: You have a strong background in Cloud Data Platforms using any one of the leading cloud platforms -AWS/Azure/GCP. You can implement cloud-based solutions using technologies such as modern distributed systems design patterns, microservices, streaming platforms, and 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. Southern California Base Salary Range: $158,620-$253,792 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. 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.