Data Security Engineer

Salary: $80,000 - 104,000 per year Requirements:

• We are looking for 7+ years of experience in data security, cybersecurity engineering, or cloud security.
• Experience in data security engineering within financial services is preferred.
• We need experience supporting audits, risk assessments, and regulatory examinations.
• We value familiarity with identity-centric and behavior-based security models, including Zero Trust, identity-aware data access, privileged-user monitoring, insider-threat detection, UEBA, anomaly detection, and SIEM/SOAR integrations.
• Hands-on experience designing, implementing, and operating data security controls in structured data environments, such as DBAM, data discovery and inventory, data access governance, CASB, DLP, and DSPM.
• Strong knowledge of data protection methods, including encryption at rest, in transit, and at the field level, tokenization, masking, anonymization, row-level security, and sensitive data classification, labeling, and label propagation.
• Experience securing modern data platforms and pipelines, including relational and cloud-native databases, data warehouses/lakehouses, and structured ETL/ELT workflows across on-premises, cloud, and hybrid environments.
• Ability to lead enterprise-wide initiatives that extend Zero Trust and identity-aware access to data, integrating IAM controls, privileged-user monitoring, and policy enforcement with SIEM/SOAR workflows.
• Ability to drive enterprise-scale adoption of data security controls and policies, including governance for emerging use cases such as machine learning and large language model systems.
• Familiarity with GLBA, SOX, FFIEC, and NYDFS 500 requirements.
• Knowledge of NIST SP 800-53 and the NIST Cybersecurity Framework.
• Ability to explain complex technical concepts and risks to non-technical stakeholders in terms of business impact.
• Ability to partner with adjacent security domains, such as unstructured data security, DLP, and DSPM, to keep policy application consistent across data types and environments.

• We define and maintain security standards and guardrails, including gold standards, reference configurations, templates, and architectural guidance.
• We provide security direction, contribute to solution designs, review proposed approaches, identify gaps and compensating controls, influence strategy, and escalate high-risk designs when needed.
• We translate and extend enterprise data security controls and classification frameworks from unstructured to structured data platforms, helping ensure consistent protection across databases, warehouses, and analytics environments.
• We drive validation and adoption of controls through documentation of behavior and integrations, proof-of-concepts or pilots, and support for remediation of security and compliance gaps.

• Cloud
• ETL
• IAM
• Support
• Machine Learning
• REST
• Security
• AI

More:

We are Edward Jones, a Fortune 500 privately owned financial services firm serving more than 9 million clients with over 20,000 financial advisors across the U.S. and Canada. Our purpose is to partner for positive impact and improve the lives of our clients, colleagues, and communities. Our Data Security team is building controls, requirements, and patterns that help the firm innovate securely across all data environments, and in this Security Engineering role we focus on designing secure systems, integrations, architectures, and deployment patterns. We offer a flexible, inclusive, and supportive workplace where associates are seen, heard, respected, and encouraged to grow. We also provide a comprehensive benefits package that includes medical, dental, vision, disability, life, 401(k), HSA and FSA options, paid holidays, vacation, sick time, personal days, and volunteer time, with bonuses and profit sharing potential. This role is based around our Tempe, AZ and St. Louis, MO home office locations, with an office presence expected for nearby associates.

last updated 36 week of 2026