Data Engineering Security

Data Engineering Security Developer Jobs

2 jobs found

Today

Data Engineer II, Intl. Seller Services

Amazon.com Services LLC - A57 Seattle, WA

Seattle, WA

Today

$132k - $179k/yr Full time Analytics AWS Aws Data Engineer

Apply Now

Job Description

Data Engineer II role on Amazon’s International Seller Services (ISS) Central Analytics Data Engineering team, building data and ML infrastructure for GenAI applications.

Responsibilities

Lead data engineering initiatives and deliver end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective
Design, implement, and operate large-scale, high-volume, high-performance data structures supporting analytics and data science
Build data ingestion workflows using best practices for data modeling and ETL/ELT leveraging AWS technologies and big data tooling
Collect business and functional requirements and convert them into robust, scalable, operable solutions using a flexible, adaptable data architecture
Partner with other engineers to adopt best practices across data system creation, data integrity, test design, analysis, validation, and documentation
Review existing data solutions and identify opportunities for improvement

Requirements

3+ years of data engineering experience
1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT
1+ years developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
1+ years developing and operating large-scale data structures for business intelligence analytics using data modeling
1+ years developing and operating large-scale data structures for business intelligence analytics using SQL
1+ years developing and operating large-scale data structures for business intelligence analytics using Oracle
3+ years in the job offered or a related occupation experience
1+ years with large-scale business intelligence analytics using each of the following: ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM
OLAP, SQL, Oracle
ETL, ELT (Extract, Transform, Load; Extract, Load, Transform)
Non-relational databases and object storage
Document or key-value stores, graph databases, column-family databases

Location

Seattle, WA (onsite)

Compensation

USD 132,100 - 178,800 per year

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line)
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores such as object storage, document or key-value stores, graph databases, and column-family databases

View full job page →

Today

Security Engineer (Data Engineering/ Protection)

Truist Bank Charlotte, NC

Charlotte, NC

Today

Full time Cloud Platforms Data Encryption Data Engineering Security

Apply Now

Job Description

Truist Bank is hiring a Security Engineer to act as a technical expert for Protegrity-based enterprise data protection. This onsite role in Charlotte focuses on designing, implementing, and supporting tokenization, masking, and encryption controls across applications and data pipelines, with close collaboration across engineering and cybersecurity stakeholders.

Location and Work Arrangement

Location: Charlotte, NC
Onsite: Yes
Employment: Regular
Work Shift: 1st shift (United States of America)

Responsibilities

Support the design, implementation, and maintenance of enterprise data protection solutions using Protegrity, including tokenization, masking, and encryption controls.
Act as a technical expert for integrating Protegrity with new and existing applications, databases, and data pipelines across the organization.
Develop, test, and optimize data protection policies, workflows, and integration patterns to align with security and compliance requirements.
Troubleshoot and resolve complex issues involving Protegrity agents, connectors, policy enforcement, and application integration.
Partner with application teams, architects, and cybersecurity stakeholders to support secure data handling across solution lifecycles.
Maintain documentation for architectures, integration guides, runbooks, and operational procedures for data protection platforms.
Mentor and train junior engineers to build internal capability and maintain subject matter expertise.
Support ongoing operations and incident response activities for the organization’s Tier 1 data protection platform.

Required Qualifications

Bachelor’s degree or equivalent education, training, and work-related experience.
Minimum 5 years of experience in security engineering or related cybersecurity roles.
Advanced knowledge of cybersecurity principles, theories, and concepts.
Proven experience applying security practices across the software development lifecycle.
Advanced knowledge of threat modeling, security testing, and penetration testing.
Experience implementing and managing complex information security technologies.

Preferred Qualifications

5–8+ years in software engineering, cybersecurity engineering, or data engineering roles.
Hands-on experience integrating Protegrity or a similar enterprise data protection platform.
Strong knowledge of tokenization, including format-preserving, reversible, and non-reversible approaches.
Strong knowledge of data masking, including static and dynamic masking.
Strong knowledge of encryption, including symmetric, asymmetric, and key management concepts.
Experience with application integration patterns such as APIs, SDKs, agents, proxy-based controls, and microservices.
Proficiency in at least one modern programming language: Java, Python, .NET, etc.
Strong SQL and analytical skills.
Deep understanding of data security, IAM, and compliance frameworks including PCI DSS, GDPR, and HIPAA.
Ability to diagnose and resolve complex production issues in high-criticality environments.
Strong communication and cross-team collaboration abilities.
Experience working in cloud environments: AWS, Azure, GCP.
Familiarity with DevSecOps practices and CI/CD pipelines.
Prior experience mentoring or leading junior engineers.
Background with big data platforms such as Snowflake, Hadoop ecosystem, and Spark is a plus.

Technology Focus

Protegrity; tokenization; data masking; encryption; format-preserving tokenization; reversible and non-reversible tokenization; static and dynamic data masking
Symmetric and asymmetric encryption; key management concepts
Programming: Java, Python, .NET
Databases and data: SQL, Snowflake, Hadoop ecosystem, Spark
Security and compliance: PCI DSS, GDPR, HIPAA
Cloud and delivery: AWS, Azure, GCP, DevSecOps, CI/CD pipelines

Benefits

Medical, dental, vision
Life insurance
Disability
Accidental death and dismemberment
Tax-preferred savings accounts
401k plan
No less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment
10 sick days (prorated)
Paid holidays
Defined benefit pension plan (depending on position and division eligibility)
Restricted stock units (depending on position and division eligibility)
Deferred compensation plan (depending on position and division eligibility)

Language Fluency

English: Required

View full job page →

Data Engineering Security Developer Jobs

Data Engineer II, Intl. Seller Services

Security Engineer (Data Engineering/ Protection)

Get Data Engineering Security Developer Jobs alerts