Data Security Engineer Job at Hewlett Packard Enterprise (Spring)

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Cyber Security Engineer - Data Encryption

Data Encryption and Compliance will be responsible for supporting the management...

Location

United States , Isline, NJ, Columbus, OH, Chandler, AZ, or Westlake, TX

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
Basic understanding of data encryption concepts, security protocols, or related technologies
Strong analytical and problem-solving skills with an eagerness to learn and develop technical expertise
Familiarity with compliance and regulatory environments, particularly in financial services, is a plus
Excellent communication and collaboration skills
Experience: 9+ years
Data Encryption Management
Compliance and Risk Management

Job Responsibility

Assist in the implementation, maintenance, and support of encryption technologies to secure structured data at rest
Monitor encryption systems and processes to ensure optimal performance and security
Work with a variety of vendors to implement and manage encryption solutions
Support vendor assessments and ensure adherence to compliance and security requirements
Contribute to the development and integration of encryption tools and processes
Provide hands-on support for technical issues and enhancements
Assist with compliance-related activities, including audits, regulatory reporting, and maintaining documentation
Ensure all encryption practices align with industry standards, regulatory requirements, and internal policies
Work closely with senior engineers and leadership to support the team’s goals and objectives
Participate in training opportunities to develop expertise in data encryption technologies and compliance practices

Data Security Policy Engineer

HSBC’s Global IT Organisation is one of the largest technology functions. Ensuri...

Location

Poland

Salary:

Not provided

HSBC

Expiration Date

January 30, 2026

Requirements

A degree in IT, ideally specializing in IT Security
Industry qualifications (CISSP, CISA, CISM)
5+ years’ experience in Data Security Engineering
Experience on DLP products such as Symantec DLP, Proofpoint DLP with hands-on experience for deployment of data discovery tools
Experience on Data Security Policy Creation, Analysis and Updates
Demonstrable experience on Data in Motion and/or Data at Rest Security
Experience in Agile Methodology and project planning and management
Ability to transform business requirements into delivery plans
Be a strong team player with excellent communications skills
Ability to build strong relationships and communicate on complex IT Security issues with a wide spectrum of stakeholders

Job Responsibility

Be involved in Cyber Security projects and creating Engineering Policy solutions in the Data Security Area
Configure and run DLP and possible other tooling Policy solutions and data scanning tooling
Provide production support to Data Security tooling for Policies (such as Symantec, McAfee, MIP)
Use Confluence and Jira for Project and Production support tasks
Stakeholder Management: Business communication and Audit management.

What we offer

Competitive salary
Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Corporate parties & events
CSR initiatives
Nursery discounts

Fulltime

Engineering Manager, Data Security

As an Engineering Manager on our Data Security team, you’ll lead a group of tale...

Location

United States; Canada

Salary:

190000.00 - 258000.00 USD / Year

1Password

Expiration Date

Until further notice

Requirements

A strong background in data security, ideally in applied cryptography
Implementing modern symmetric or asymmetric cryptographic algorithms
Building or integrating digital signature schemes and hash functions
Delivering key management systems, key distribution protocols, or working with hardware security modules
Identifying and mitigating real-world security vulnerabilities and attack vectors
Managed or technically led a team of developers and owned application development from planning to delivery
Hands-on engineering experience and tackled complex, ambiguous problems through code
Technical background to coach developers and elevate team performance
Led cross-functional projects that span multiple systems, teams, or architectural layers
Create a positive, inclusive team environment where people feel supported, challenged, and energized

Job Responsibility

Lead and develop a high-performing team of engineers in a culture of innovation, execution, and collaboration
Scope, prioritize, and plan impactful security initiatives in partnership with your team
Drive high-quality execution through iterative delivery, velocity, and clear communication
Provide hands-on technical leadership within your team and across engineering
Build and support a diverse, inclusive team where people grow and thrive
Help scale a specialized team by refining hiring, onboarding, and growth practices in partnership with fellow EMs

What we offer

Maternity and parental leave top-up programs
Generous PTO policy
Four company-wide wellness days
Company equity for all full-time employees
Retirement matching program
Free 1Password account
Paid volunteer days
Employee-led inclusion and belonging programs and ERGs
Peer-to-peer recognition through Bonusly

Fulltime

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data Security Engineer

Hewlett Packard Enterprise

Location:
United States , Spring

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
November 19, 2025

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