Identity and Access Management Data Engineer level III

Capital Group•San Antonio, TX

About The Position

“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.

Requirements

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.

Responsibilities

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.