Senior Data Protection Engineer Job at Barbaricum (Tampa)

Senior Staff Engineer – Cybersecurity Data Protection Engineer

GEICO’s Cybersecurity organization has an exciting opportunity for an accomplish...

Location

United States , Chevy Chase; Palo Alto; Seattle

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience with data discovery, classification, handling, access, inventory, and retention
Proven experience with data protection technologies, such as encryption, tokenization and data loss prevention tools
Familiar with programming languages such as Python, Java, or .NET
Experience with designing and implementing data security solutions for enterprise environments
Experience in managing and supervising other Data Protection Engineers
Experience in developing and managing data protection programs focused on data discovery, data inventory, data risk assessments, and encryption for both structured and unstructured data
Strong knowledge of cybersecurity laws, regulations, and best practices
Knowledge of data security frameworks, standards, and protocols
Strong understanding of data privacy laws and regulations (i.e. NYDFS, PCI, etc.)
Strong analytical and problem-solving skills

Job Responsibility

Develop and Implement data protection strategies and initiatives, including classification and handling, data access controls, inventory, encryption, and retention
Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements
Develop and maintain data security policies, procedures, standards, and ensure that they are followed by the entire organization
Create and maintain data inventories and data flows, and manage data sharing controls
Drive the design and implementation of data access controls, ensuring only authorized access to sensitive data
CO-develop and implement data retention policy and procedures, ensure compliance with internal policy and external regulations
Enforce data encryption standards and strategies to secure data at rest and in transit
Lead incident response efforts related to data breach and work with stakeholders to mitigate impact
Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems
Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Fire Protection Engineer - Data Center

Join Olsson’s Data Center Design team as a remote Senior Fire Protection Enginee...

Location

United States

Salary:

120000.00 - 177000.00 USD / Year

Olsson

Expiration Date

Until further notice

Requirements

Strong communication skills
Ability to contribute and work well with a team
Excellent interpersonal and problem-solving skills
Bachelor’s degree in Fire Protection, Mechanical, or a related engineering discipline
Professional Engineer (PE) license required
FPE preferred
8+ years of experience in fire protection engineering
Experience with hyperscale data centers, government, or other secure facilities
Strong working knowledge of NFPA standards, IBC, IFC, UFCs and client specifications
Proficiency with relevant design and modeling tools, preferred (e.g., REVIT, AutoSPRINK, HydraCAD, or similar)

Job Responsibility

Lead the design and execution of fire protection systems for secure and mission-critical facilities
Develop and review fire suppression, alarm, and life safety system designs to meet client and code requirements (NFPA, IBC, IFC, UFCs, etc.)
Serve as the technical expert and client liaison for fire protection scopes on data center and secure facility projects
Coordinate across disciplines to ensure fully integrated system design
Mentor junior engineers and contribute to internal knowledge-sharing
Support proposal development and contribute to project scope and scheduling
Occasionally travel to project sites or other Olsson offices as needed (approximately 15–25%)

What we offer

Receive a competitive 401(k) match
Be empowered to build your career with tailored development paths
Have the possibility for flexible work arrangements
Engage in work that has a positive impact on communities
Participate in a wellness program promoting balanced lifestyles
Traditional benefits package (health care, vision, dental, paid time off, etc.)
Opportunity to participate in a bonus system that rewards performance

Fulltime

Senior Software Engineer - Data Protection

LufCo is seeking a Senior Software Engineer with a focus on Data Protection. Thi...

Location

United States , Annapolis Junction

Salary:

170000.00 - 245000.00 USD / Year

LufCo

Expiration Date

Until further notice

Requirements

Bachelor of Science degree in Software Engineering, Computer Science, Information Systems, or other related field
4 years of relevant work experience may be substituted for a B.S. degree
Fourteen (14) or more years experience as a Software Engineer in programs and contracts of similar scope
Languages: Java (for both front-end (Swing) and back-end (servlets), Javascript (vanilla/JQuery),Shell Scripting (BASH), PL/SQL (Oracle)
Frameworks: React and Spring/Spring Boot
OS: Linux and Windows
COTs: AEM (Adobe)
Servers: JBoss 7.x and Tomcat
Active TS/SCI with Polygraph clearance

Job Responsibility

Drive next generation Data Protection forward utilizing commercial and government best practices for ensuring secure encryption solutions
Planning, implementation, and evolution of Data Protection sets for evaluation and analysis as part of existing system modernization efforts
Ability to see impacts of system changes at scale, minimizing technical debt and critical thinking related to strategic moves regarding Identity, Credentialing, and Access Management Solutions
Provide fundamental knowledge on applying technologies like containerization to legacy physical workloads, the ability to identify automation improvements, and the ability to communicate pros/cons as part of the technical decision making process
Demonstrate a high level of familiarity with software patterns and modern design methodology
Software development on Linux based platforms
Software planning to include development planning, build planning, and sprint planning
Develop software to meet cybersecurity related software requirements and constraints
Advocate for automation in all aspects of the system (build, deployment, test, updating, and monitoring)
Perform requirements analysis, refinement, testing, troubleshooting, deployment, and push secure access solutions forward to support the customer

What we offer

Competitive salary
generous PTO
health/dental/vision insurance
401K matching
tuition reimbursement
Paid Time Off
401K Contribution and Employer Match Contributions
Medical, Dental, and Vision Coverage
Impactful Work
Cutting-Edge Technology

Fulltime

Senior Engineer – IaaS (Cryptography and Data Protection)

GEICO is seeking an experienced senior Engineer with a passion for building high...

Location

United States , Chevy Chase, MD; Palo Alto, CA; Seattle, WA

Salary:

105000.00 - 215000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Strong foundations in software engineering
Experienced in complex system design and data pipeline and architectures, with good knowledge on Docker and Kubernetes
Experience in software development with at least one modern programming language, including Go, Python, Java, or Rust
Hands-on experience with public and/or private cloud environments (OpenShift, Kubernetes, Azure, AWS, GCP, etc.)
Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube and knowledge in Terraform will be a big plus
Strong problem-solving abilities
4+ years of professional PaaS and IaaS experience
3+ years of experience with architecture and design
3+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience in open-source frameworks

Job Responsibility

Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Develop and execute technical software development strategy for the IaaS domain, while optimizing for performance and efficiency
Own accountability for the quality, usability, and performance of the solutions
Consistently share best practices and improve processes within and across teams
Take on-call and operational support

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Data Engineer

As a Senior Data Engineer, you'll spearhead the evolution of our digital landsca...

Location

Czech Republic , Prague

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Python ETL development — experience building and maintaining batch data pipelines in Python 3.10+, including structured data extraction, transformation logic, and idempotent batch loading patterns
SQL Server and relational data modelling — hands-on experience writing T-SQL, designing analytical schemas (stored procedures, MERGE/upsert patterns, TVPs, indexed views), and working with pyodbc or SQLAlchemy Core
Regulatory or financial data processing — demonstrated experience parsing structured and semi-structured financial data sources (XBRL, SEC filings, or equivalent), including handling taxonomy variations, missing fields, and data quality edge cases

Job Responsibility

Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools
Ensure code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Senior Data Engineer

The role is responsible for designing, building, maintaining, analyzing, and int...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s / Master’s degree and 8 to 13 years of Computer Science, IT or related field experience
Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Proficiency in data analysis tools (e.g. SQL) and experience with data visualization tools
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices.

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Poland , Warsaw

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs.
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Romania , Bucharest

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

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Senior Data Protection Engineer

Job Description

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