Capital Group · 6 hours ago
Identity and Access Management Data Engineer level III
New York, United States
Full-time
Onsite
Senior Level
$142K/yr - $227K/yr
5+ years expCapital Group is committed to fostering a diverse and inclusive workplace where associates can bring their authentic selves to work. The IAM Data Engineer will focus on analyzing and optimizing identity and access management processes using data analytics and AI to enhance security and compliance.
Financial Services
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
Qualification
Required
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
Benefits
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
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.
Company
Capital Group
Capital Group was established in 1931 in Los Angeles, California, and now has 31 offices around the globe.
Founded in 1931Los Angeles, CA, US
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Mike Gitlin
President & CEO
Canise Arredondo (she/her/hers)
Chief Financial Officer
Recent News
2024-05-06
2024-04-17
2024-02-27
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