Data Security

Data Security Engineer Jobs

258 jobs found

Today

Operational Technology Systems Engineer- Cybersecurity

Korn Ferry for SABIC (Saudi Aramco) SMB-RPO Mount Vernon, IN

Mount Vernon, IN

Today

Full time Cybersecurity Tools Data Security Incident Response

Apply Now

Job Description

This onsite role in Mount Vernon, Indiana supports SABIC's Operational Technology security program through Korn Ferry for SABIC SMB-RPO. The position focuses on maintaining cybersecurity controls, applying new policy requirements, and producing cybersecurity reporting and periodic reviews for SABIC's OT systems.

Responsibilities

Configure, maintain, monitor, and troubleshoot the control and automation system infrastructure, including cybersecurity controls, backups, networks, and routine system maintenance.
Ensure site compliance with applicable cyber security and systems infrastructure requirements and standards such as SABIC Engineering Standards (SES), SABIC Operating Management System (OMS), Manufacturing Standards, and cyber security policies.
Create and maintain technical documents related to cyber security and systems infrastructure, including architecture diagrams, network IP schemas, and procedures and guidelines.
Assess vulnerabilities in the site infrastructure, verify the effectiveness of available tools and countermeasures, and remediate detected weaknesses.
Investigate and report damages to data and system infrastructure resulting from cybersecurity incidents or other failures.
Maintain and validate the effectiveness of disaster recovery plans.

Requirements

BS degree in Computing Engineering, Computer Science, Control Systems, or another engineering discipline.
Preferred certifications in Cyber Security and Industrial Automation & Control Systems or equivalent experience.
Minimum of 3 years’ experience in Industrial Automation and Control Systems, computer networks, and communications.
Solid knowledge of operating systems, server maintenance, and database administration.
Applications must be submitted online; use the Apply Now option to submit your resume.
Must be 18 years or older.
Must be authorized to work in the United States for SABIC on a full-time basis.
Must have worked in your current position for at least 18 months and meet the prerequisites of the position you are applying for.
Manager notification is required prior to applying for internal opportunities.
Manufacturing employees in certification, journeyman, or similar programs require prior manager approval to post.
If you do not notify your manager before applying, consult with the applicable HR Partner.
Must have unrestricted authorization to work in the United States.

Work Availability

Regular, predictable attendance is essential. Applicants must be regularly available and willing to work Monday through Friday during the assigned hours of operation, as well as additional hours as the company determines are necessary to meet business needs.

View full job page →

Today

Lead Data Engineer / Data Architect

Glint Tech Solutions LLC Charlotte, NC

Charlotte, NC

Today

Full time Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics

Apply Now

Job Description

This on-site opportunity in Charlotte, NC focuses on shaping enterprise data strategy and modernizing platforms across architecture modernization, migrations, and cloud-native microservices.

Responsibilities

Design and own enterprise data architecture to support high-volume retail eCommerce operations.
Develop and maintain ETL and ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks with PySpark.
Model conceptual, logical, and physical data structures for efficient storage and retrieval.
Implement data warehousing approaches such as dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault.
Lead database migrations and microservices migrations toward unified, cloud-native solutions.
Integrate data from databases, APIs, and external providers via API integrations and message queues.
Embed metadata management and governance within cloud-based data platforms.
Guide and mentor cross-functional engineering teams, shaping technical strategy and stakeholder communications.

Requirements

8+ years of overall experience with at least 1 year in an Architect-level role.
3+ years of hands-on Azure Data Factory and Azure Synapse Analytics experience.
Deep Microsoft Azure expertise including Data Lake Storage, Databricks, PySpark, Cosmos DB, and PostgreSQL.
Strong SQL proficiency for complex queries, transformations, and cloud performance tuning.
Experience with Azure MI, Cosmos DB, Analysis Services, and Informix.
Proficiency in Python and Python-based ETL tools.
Shell scripting experience — Bash, Unix, or Windows.
Proven ability to lead teams, define technical strategy, and communicate across organizational levels.

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
PySpark
Data Lake Storage
Cosmos DB
PostgreSQL
SQL
Python
Bash
Unix
Windows
Azure MI
Analysis Services
Informix
Elasticsearch
Docker
Kubernetes
Delta Lake
Delta Lakehouse
Data Mesh
Data Vault

Nice-to-have skills

Elasticsearch experience
Docker and Kubernetes familiarity
Performance tuning and pipeline optimization expertise
Azure, Databricks, or relevant cloud certifications

Company overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.

View full job page →

Today

Staff Data Engineer

Okta Washington, DC

Washington, DC

Today

$174k - $239k/yr Full time Cloud Architecture Data Architecture Data Engineer

Apply Now

Job Description

Okta seeks a Staff Data Engineer in Washington, DC (hybrid) to lead the architectural evolution of the data platform, beginning with FEDRamp compliance, and to drive strategic platform initiatives. The role collaborates across data, platform, and security teams to define and execute the architectural roadmap. Compensation ranges from USD 174,000 to 238,700 per year.

Responsibilities

Lead the architectural design and evolution of the data platform, outlining the roadmap for its future state.
Steer technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
Collaborate closely with engineers and leaders from data, platform, and security teams to create a unified and secure architecture.
Produce architectural artifacts, including design documents, threat models, and technical specifications to align stakeholders on complex initiatives.
Serve as a technical mentor and multiplier for the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices.
Implement foundational components of new architecture, validating designs through hands-on coding and modeling best practices for other engineers.

Requirements

A passion for building secure, reliable, and scalable data systems.
8+ years of software development experience, including at least 5+ years in a data engineering or data platform role.
Proven track record delivering large-scale, cross-functional technical projects.
Extensive experience architecting and deploying data infrastructure in a cloud environment, with AWS strongly preferred.
Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
Strong proficiency in Python and SQL, with a high standard for code quality and system design.
Excellent communication skills, capable of creating clarity and driving decisions on complex technical topics.
The ability to navigate ambiguity, define a path forward, and lead others to successful outcomes.

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes
AWS GovCloud

Benefits

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

THE AUTH0 DATA ENGINEERING TEAM

Pipeline team, situated near the Platform team and data producers, responsible for efficient data ingestion and providing rapid access to unmodeled data
Warehouse team, closer to business teams and data consumers, modeling data in the data warehouse to abstract complexity for consumers and simplify analysis, reporting, and decision-making
Interface team, charged with creating and managing connections between the data platform and external systems, ensuring consistent and reliable data access

THE OKTA EXPERIENCE

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

View full job page →

Today

Lead AI Security Engineer

FM Johnston, RI

Johnston, RI

Today

$121k - $173k/yr Full time Agent Agentic Ai Ai Security

Apply Now

Job Description

The Lead AI Security Engineer is a senior technical role focused on enabling secure AI adoption across FM. The position defines security requirements and implements controls for AI capabilities, partnering with platform, engineering, and product teams to operationalize AI security.

Responsibilities

Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks.
Define security and risk requirements for enterprise AI platforms and agent-based systems.
Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements.
Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations.
Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment.
Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments.
Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives.
Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling.
Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes.
Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration.
Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied.

Requirements

7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security.
Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring.
Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments.
Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications.
Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations.
Demonstrated ability to evaluate technologies and guide technical decision-making.
Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation.
Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred.
Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred.
Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations.
Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges.
Ability to develop security and risk requirements from ambiguous or emerging technology risks.
Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns.
Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications.
Strong analytical, problem-solving, and communication skills; ability to work independently and collaboratively across teams.

Technologies

Microsoft Copilot
Claude
Azure AI Foundry

Benefits

Incentive plan
Medical, dental and vision insurance
Life and disability insurance
Well-being programs
401(k) and pension plan
Career development opportunities
Tuition reimbursement
Flexible work
Time off (vacation and sick time)

Schedule & Location

This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs.

Relocation

Relocation is not offered for this position

Education and Certifications

Bachelor’s degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered)
Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred

View full job page →

Today

Secure AI Engineer Manager

Accenture Atlanta, GA

Atlanta, GA

Today

$87k - $294k/yr Full time Manager Ai Security Artificial Intelligence

Apply Now

Job Description

Accenture is seeking a Manager-level Secure AI Engineer to deliver Secure AI practice work, lead day-to-day client workstreams, develop security tooling and playbooks, and mentor practitioners across multiple Secure AI disciplines with a focus on Security for AI and AI for Security. This onsite role is based in Atlanta, GA.

Overview

Location: Atlanta, GA (onsite)
Salary: USD 87,400 - 293,800 per year
Minimum experience: 5 years
Education: Bachelor's degree or equivalent

Responsibilities

Deliver secure AI engineering solutions that transform enterprise AI adoption while safeguarding AI-enabled operations for clients.
Architect, provision, and validate prototype and production grade secure AI deployment pipelines, ensuring cohesive interoperability across components.
Collaborate with project teams, team leaders, delivery managers, and client stakeholders to craft standout AI Security and Governance offerings powered by LLM platforms, frontier-grade models, agentic frameworks, and AI/MCP gateways (examples include Anthropic Claude, OpenAI, and Azure OpenAI).
Build and sustain strong client relationships and earn the trust of key advisors.
Present a compelling business case for the most effective secure AI solution tailored to the client’s needs.
Participate in Accenture sales efforts when required to support opportunity development.
Continuously expand technical foundations in AI, AI security, emerging technologies, and business implications.

Requirements

At least 5 years in a cybersecurity discipline with deep expertise in one area such as AppSec, SecOps/detection engineering, IAM, cloud security, offensive security/penetration testing, GRC, or responsible AI.
At least 1 year of hands-on experience with agentic coding tools (daily use required): Claude Code, Cursor, GitHub Copilot, or Codex.
At least 1 year of experience with AI architecture fundamentals, including LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, and model serving.
At least 1 year of experience in AI-specific security: OWASP LLM Top 10, prompt injection, adversarial inputs, and AI supply chain risks.
At least 1 year of experience in threat modeling for AI systems (STRIDE, PASTA, or equivalent) applied to LLM deployments and agentic pipelines.
Cloud platform security fundamentals certification (AWS, Azure, or GCP).
Bachelor's degree or equivalent (minimum 12 years of work experience); for those with an Associate’s Degree, a minimum of 6 years of work experience is required.

Technologies

Anthropic Claude
OpenAI
Azure OpenAI
Claude Code
Cursor
GitHub Copilot
Codex

Benefits

Medical coverage
Dental coverage
Vision coverage
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

View full job page →

Today

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

Deloitte Atlanta, GA

Atlanta, GA

Today

Full time Agentic Ai Artificial Intelligence Authentication

Apply Now

Job Description

Deloitte seeks a Delivery Senior Consultant focused on Identity and Gen AI engineering to design, implement, and secure AI solutions with robust identity, access, and trust controls across both human and non-human identities and GenAI platforms. The role combines hands-on software engineering, system integration, and ongoing enhancement of AI capabilities.

Location

Atlanta, GA, hybrid

Responsibilities

Build and integrate generative AI solutions, including large language model applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.
Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.
Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.
Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.
Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

Requirements

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related technical field.
Ability to work onsite up to 5 days a week.
3+ years of software engineering experience with Python or a comparable language.
1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as LLM applications, retrieval-augmented generation, or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor.
Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on, and standards such as OpenID Connect, SAML, OAuth, and JSON Web Token.
Ability to travel 15 percent on average based on the work and client engagement.
Ability to obtain and maintain the necessary security clearance.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future.
Hybrid Delivery Center location and travel: reside within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) or Geo-Hub locations (Atlanta, Charlotte, Dallas, Houston, and Philadelphia).
Co-location: spend up to 30 percent of working time co-located at an assigned office for opportunities such as projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location.
Travel requirement: up to 10 percent overnight travel for client or project purposes.
Relocation: if relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance.

Technologies

Python
Claude Code
OpenAI Codex
GitHub Copilot
Cursor
LangChain
LangGraph
Model Context Protocol (MCP)
Open Policy Agent (OPA)
Cedar
OpenFGA
HashiCorp Vault
CyberArk
SailPoint
Okta
Microsoft Entra ID
AWS
Microsoft Azure
Terraform
Ansible
OpenID Connect (OIDC)
SAML
OAuth
JSON Web Token (JWT)

View full job page →

1d ago

Data Engineer I (AWS, Python, GenAI)

Travelers Hartford, CT

Hartford, CT

1d ago

$109k - $180k/yr Full time Artificial Intelligence Big Data Cloud Platform

Apply Now

Job Description

Data Engineer I at Travelers builds and operates data solutions and pipelines to enable enterprise wide AI/ML analytics, leveraging AWS, Python, and GenAI capabilities.

Responsibilities

Build and operationalize complex data solutions, fix problems, apply transformations, and propose data cleansing and quality improvements.
Design data solutions that support analytical needs.
Analyze data sources to assess value and recommend data to include in analytics processes.
Incorporate core data management practices including data governance, data security, and data quality.
Collaborate within and across teams to support delivery and educate end users on data products and analytic environments.
Perform data and system analysis, assess and resolve defects and incidents of moderate complexity, and implement appropriate fixes.
Test data movement, transformation code, and data components to ensure reliability.
Perform other duties as assigned.

Requirements

Bachelor’s degree in computer science, a related STEM field, or equivalent.
3+ years in a data engineer role, with additional time in the IT industry or an engineering related field, adding up to 7+ years.
2+ years of hands-on ETL experience with Python or PySpark.
Experience with cloud platforms and cloud services, preferably AWS; also familiar with Azure or Google Cloud.
Experience developing generative AI applications and large language models or equivalent technologies.
Proficient use of tools and technologies including cloud platforms, programming languages, and software engineering practices.
Ability to deliver work at a steady, predictable pace, decompose tasks into small releases, and participate in tradeoff discussions.
Demonstrated domain expertise with the ability to understand technical concepts and current systems.
Strong problem solving and debugging skills to identify issues in unfamiliar code or systems and address recurring problems.
Excellent verbal and written communication skills for collaboration with team members and business partners.
Intermediate leadership skills with a proven track record of self-motivation and personal growth.