Security Data Engineering

Security Data Engineering Developer Jobs

2 jobs found

Today

Data Engineer III - Python, Databricks

JPMorganChase Houston, TX

Houston, TX

Today

Full time Python Amazon Web Services AWS

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Job Description

Secure, scalable data work in Houston. JPMorgan Chase is hiring a Data Engineer III (onsite in Houston, TX) to design and deliver reliable data collection, storage, access, and analytics solutions. You will build and maintain secure, stable data pipelines using Python and Databricks, with strong emphasis on data modeling, security controls, and AI-assisted development and validation.

What you’ll focus on

Develop workflows and ELT pipelines using Python and Databricks.
Use SQL frequently, including joins and aggregations, and apply working knowledge of NoSQL databases.
Implement data protection aligned to enterprise requirements using entitlements frameworks.
Update logical and physical data models as new use cases emerge, supporting consistent access and analytics.
Contribute to review of controls to ensure sufficient protection of enterprise data.
Use enterprise-authorized AI capabilities to accelerate pipeline and design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
Apply reuse-first, AI-assisted practices to strengthen SDLC routines such as test generation and control validation, with traceability/auditability and alignment to resiliency and security expectations.

Required qualifications

Formal training or certification on software engineering concepts plus 3 years of applied experience.
Good working knowledge of AWS, Databricks, and Python, including experience across the data lifecycle.
Advanced ability with SQL (including joins and aggregations) and working understanding of NoSQL databases.
Significant experience with statistical data analysis, including choosing appropriate tools and data patterns for analysis.
Ability to utilize AWS Cloud Services to develop, deploy, and manage applications at scale.
Daily proficiency with AI coding assistants, including tools such as Cursor, GitHub Copilot, and Claude, for code generation, documentation, and refactoring.
Effective prompt engineering, providing context, clear goals, relevant source material, and defined output expectations to produce usable code.
Critical evaluation and validation of AI-generated code by identifying hallucination patterns, security vulnerabilities, and logic errors prior to production deployment.
Demonstrated experience using enterprise-authorized AI capabilities in data engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted outputs (examples include query suggestions, test ideas, and model change summaries) before use, escalating when uncertain and following data handling requirements.

Preferred capabilities

Familiarity with Medallion architecture and standardized data layer practices.
Exposure to Aurora Postgres and MongoDB.
Experience developing and supporting AWS GLUE Jobs and a Federated Data Lake.
Experience designing efficient data models, including normalization, denormalization, and schema design with knowledge of relational and star schemas.
Augmented development workflow experience: integrating tools into CI/CD, using Docker, and leveraging AI to bridge language gaps (such as transitioning between Python, JavaScript, or Java).

Technology stack

Python, Databricks, ELT, SQL, NoSQL, AWS, Cursor, GitHub Copilot, Claude, Aurora Postgres, MongoDB, AWS GLUE Jobs, Federated Data Lake, Medallion architecture, Docker, CI/CD, JavaScript, Java

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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Today

Cybersecurity Data Engineering Manager

Capital Group Companies New York, NY

New York, NY

Today

$173k - $342k/yr Full time Manager Analytics Cloud Data Engineering

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Job Description

Capital Group Companies is hiring a Cybersecurity Data Engineering Manager to lead cybersecurity analytics and security data engineering efforts from New York, NY onsite. In this role, you will set the direction for cybersecurity intelligence and translate security telemetry, threat and vulnerability information, identity and cloud signals, and business context into actionable analytics that support data-driven decisions.

This position focuses heavily on SIEM engineering and enterprise-scale security data pipelines. You will lead a team that builds and operates the data models, ingestion and integration frameworks, dashboards, and advanced analytics used to reduce risk to the firm.

Responsibilities

Define and execute the cybersecurity analytics, security data engineering, and security intelligence strategy.
Lead cybersecurity data scientists, data engineers, and security engineers to transform security telemetry, operational data, threat intelligence, vulnerability data, cloud security signals, identity data, and business context into actionable intelligence for data-driven decisions.
Emphasize SIEM engineering and operate enterprise-scale security data pipelines, including data models, dashboards, data ingestion and integration frameworks, and advanced analytics and reporting to reduce risk.

Requirements

Proven leadership of data scientists, data engineers, or security data professionals.
Demonstrated ability to lead large, complex programs with significant organizational impact.
Strong stakeholder influence and consensus-building with senior leadership.
Deep knowledge of cybersecurity principles, cyber risk measurement, security operations, threat detection, vulnerability management, cloud security, and security telemetry.
Expertise in statistical modeling, machine learning, predictive analytics, anomaly detection, and behavioral analytics.
Strong understanding of cybersecurity KPIs, KRIs, operational metrics, and risk analytics frameworks.
Deep expertise building large-scale data pipelines, streaming architectures, and data integration platforms.
Extensive experience designing security-focused data models and analytical data structures.
Experience managing enterprise-scale security telemetry and observability platforms.
Strong understanding of data governance, metadata management, lineage, quality management, and regulatory requirements.
Expertise in cloud-native data architectures and modern data platform design.
Proficiency in Python and SQL.
Experience with cloud-native technologies such as AWS, Snowflake, Databricks, or similar.
Experience with observability technologies like Cribl, Fluentd, OTEL, or similar.
Experience with dashboarding and visualization technologies.
Strong understanding of cloud infrastructure, distributed computing, and enterprise-scale analytics environments.
Experience building and managing security data platforms, including SIEM, security data lakes, observability platforms, and threat intelligence systems.
12+ years of experience in cybersecurity analytics, data science, data engineering, security operations, or related disciplines.
Bachelor’s degree in Cybersecurity, Computer Science, or a related field.
5+ years leading technical teams.
Experience building security data lakes and enterprise-scale security analytics platforms.
Experience supporting AI-enabled security initiatives and cyber risk measurement programs.
Experience supporting executive reporting, regulatory examinations, and audit requirements.

Technologies

Python, SQL
AWS, Snowflake, Databricks
Cribl, Fluentd, OTEL
SIEM
Security data lakes, observability platforms, threat intelligence systems
Dashboarding and visualization technologies

Benefits

Generous time-away and health benefits from day one, with the opportunity for flexible work options.
2-for-1 matching gifts for charitable contributions, plus the opportunity to secure annual grants for organizations you love.
Access to on-demand professional development resources.
Competitive salary, bonuses and benefits.
Company-funded retirement contribution (retirement contribution factors in salary and variable pay, including bonuses).
Individual annual performance bonus, plus Capital’s annual profitability bonus, and a retirement plan where Capital contributes 15% of eligible earnings.

Location: New York, NY (onsite). Salary: USD 173,072 - 342,072 per year.

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Security Data Engineering Developer Jobs

Data Engineer III - Python, Databricks

Cybersecurity Data Engineering Manager

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