Identity and Access Management Data Engineer level III

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"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 factor in salary and variable 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

"I can succeed as an Identity and Access Management Data Engineer level III at Capital Group"

The Identity and Access Management (IAM) team is part of Information Security in Capital Group's Information Technology Group. Our IAM Analytics team is expanding to enable data driven decisions based using modern technologies to process data, uncover patterns and gain insights to keep Capital Group assets safe.

As an IAM Data Engineer, your role will focus on analyzing and optimizing identity and access management processes, leveraging data analytics, data engineering principles, and AI capabilities to enhance security, efficiency, and compliance. The ideal candidate is proficient in IAM-related skills, has a working knowledge of data engineering, and is familiar with AI-driven analytics to support decision-making and automation.

Key responsibilities include:

• You will analyze IAM data to identify patterns, anomalies, and opportunities for improving access control policies and processes.

• You will develop and maintain dashboards, reports, and visualizations to communicate IAM metrics and insights to stakeholders.

• You will collaborate with IAM engineers and Operation and Governance teams to ensure data-driven decision-making aligns with organizational security policies.

• You will utilize AI and machine learning tools to detect potential security risks, predict access-related issues, and automate IAM workflows.

• You will support the design and implementation of scalable data pipelines for IAM data processing and integration.

• You will stay updated on industry trends in IAM, data analytics, and AI to recommend innovative solutions.

"I am the person Capital Group is looking for."

• You have a bachelor's degree in computer science, Data Science, Information Security, or a related field (or equivalent experience).

• You have 5+ years of experience in data engineering and analysis, preferably within IAM or cybersecurity domains.

• You have a strong understanding of data engineering, with the ability to extract, transform, and load data from multiple sources (e.g., APIs, S3 buckets, cloud platforms like AWS, Databricks, Snowflake). Proficiency in Python and SQL is essential, along with familiarity with cloud development patterns and source control (e.g., GitHub).

• You have proficiency in IAM concepts (e.g., role-based access control, privileged access management, single sign-on).

• You have strong skills in data analysis tools and languages (e.g., Python, SQL) for querying and manipulating large datasets.

• You have familiarity with data visualization tools (e.g., Tableau, Power BI) to create actionable insights.

• You have basic knowledge of data engineering practices, including ETL processes, data modeling, and pipeline development.

• You have exposure to AI/ML frameworks or AI-driven analytics tools for predictive modeling or anomaly detection.

• You have excellent problem-solving skills and attention to detail.

• You have strong communication skills to collaborate with technical and non-technical stakeholders.

"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 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

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.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

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.