CrawlJobs Logo

Lead Data Privacy Engineer

https://www.cvshealth.com/ Logo

CVS Health

Location Icon

Location:
United States , Hartford

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

106605.00 - 284280.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

We are seeking a Lead Data Privacy Engineer to assist in leading our Data Protection Engineering, Monitoring, and Audit efforts. This role is responsible for embedding privacy by design principles into systems and processes, designing and maintaining technical controls to safeguard personal data (PII), and ensuring compliance with privacy regulations while supporting business objectives. The position requires a strong technical database background and deep knowledge of privacy laws and security and privacy frameworks, working closely with cross functional teams to maintain a robust data security & privacy posture.

Job Responsibility:

  • Drive strategy, planning, prioritizing, and execution of data security and privacy initiatives to protect unstructured and structured data in hybrid environments
  • Design and Implementation of Privacy Enhancing Technologies (PETs), lead privacy-preserving solutions planning, design, development, implementation, and monitoring
  • Drive and support technical components compliance/audit processes
  • Provide expert guidance on secure systems architecture, design and implementation in alignment with privacy engineering principles
  • Continuous monitoring of emerging technologies, regulatory developments and industry trends to recommend enhancements to organizational privacy posture. Develop and maintain data protection dashboard, metrics roadmap, and scorecards
  • Apply threat modeling and risk analysis methodologies to mitigate privacy and security risks. Facilitate risk-based approach to develop, manage, and maintain data protection controls
  • Collaborate with engineering, product, legal, and compliance teams to translate privacy and regulatory requirements (e.g., GDPR, CCPA, HIPAA) into technical designs, policies, and guardrails
  • Foster a privacy by design culture and embed privacy requirements into engineering documentation
  • Lead and contribute to enterprise data governance activities, including data discovery, classification, data loss prevention, audit, and incident response
  • Lead project teams of talented professionals to deliver data security capabilities

Requirements:

  • 7+ years of hands-on experience in security engineering, privacy engineering, privacy enhancing technologies or related fields
  • 7+ years of experience with privacy and data protection regulations (GDPR, CCPA, HIPAA, etc.) and translating them into technical requirements
  • 5+ years of experience in one or more programming or scripting languages (e.g. Python, Java, Go, Rust, or similar)
  • 5+ years of experience in designing and implementing cryptographic or data protection systems (e.g. encryption, tokenization, key management)
  • 5+ years of experience in performing privacy threat modeling, data flow mapping, and conducting DPIAs/PIAs
  • 5+ years of experience in working in CI/CD environments, Infrastructure as Code (IaC), and automating security/privacy checks
  • 5+ years of data security technology experience, including data classification, DLP, insider risk, encryption, web content filtering and CASB
  • Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

Nice to have:

  • Professional Certifications such as CDPSE, CIPP, CIPT, CIPM, CISSP, or equivalent
  • Experience with security controls alignment to key regulations like NIST, FIPS 140-2, ISO, HITRUST, HIPAA, PCI, CPRA, GDPR
  • Experience supporting regulatory audits, investigations, or independent assessments
  • Experience building and scaling privacy platforms or features in a fast-paced environment (e.g. developing & automating processes, leveraging AI ML)
  • Familiarity with Data Loss Prevention (DLP) systems and data mapping tools
  • Familiarity with cloud platforms (AWS, Azure, GCP) and various data technologies (SQL, NoSQL databases, data lakes, etc.)
  • Experience implementing controls at scale in regulated environments
  • Experience aligning technical infrastructure with regulatory obligations
  • Hands-on experience with secure system architecture, data encryption, tokenization, access controls or secure API design
  • Experience in healthcare, insurance, or highly regulated industries
  • Strong analytical abilities, verbal/written communication, and interpersonal skills
  • Demonstrated experience in secure system design and alignment with organizational/regulatory requirements
  • Excellent communication and ability to explain complex technical and legal concepts to diverse audiences
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
February 22, 2026

Expiration:
March 31, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
CVS Health - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead Data Privacy Engineer

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Big Data Engineering Lead

The Senior Big Data engineering lead will play a pivotal role in designing, impl...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Information Technology, or related field
  • Atleast 10 -12 years overall software development experience on majorly working with handling application with large scale data volumes from ingestion, persistence and retrieval
  • Deep understanding of big data technologies, including Hadoop, Spark, Kafka, Flink, NoSQL databases, etc.
  • Experience with Bigdata technologies Developer Hadoop, Apache Spark, Python, PySpark
  • Strong programming skills in languages such as Java, Scala, or Python
  • Excellent problem-solving skills with a knack for innovative solutions
  • Strong communication and leadership abilities
  • Proven ability to manage multiple projects simultaneously and deliver results
Job Responsibility
Job Responsibility
  • Lead the design and development of a robust and scalable big data architecture handling exponential data growth while maintaining high availability and resilience
  • Design complex data transformation processes using Spark and other big data technologies using Java, Pyspark or Scala
  • Design and implement data pipelines that ensure data quality, integrity, and availability
  • Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
  • Evaluate and select technologies that improve data efficiency, scalability, and performance
  • Oversee the deployment and management of big data tools and frameworks such as Hadoop, Spark, Kafka, and others
  • Provide technical guidance and mentorship to the development team and junior architects
  • Continuously assess and integrate emerging technologies and methodologies to enhance data processing capabilities
  • Optimize big data frameworks, such as Hadoop, Spark, for performance improvements and reduced processing time across distributed systems
  • Implement data governance frameworks to ensure data accuracy, consistency, and privacy across the organization, leveraging metadata management and data lineage tracking
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - Privacy Engineering

Atlassian helps teams everywhere change the world through the power of software,...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A track record of delivering projects on time, in scope, and within quality goals in an Agile/Lean environment
  • Experience driving changes and establishing processes through company-wide initiatives
  • 5+ years of software, infrastructure, privacy, or security engineering experience, preferably at a similar scale enterprise
  • 8+ years managing and growing engineers and/or managers
  • Experience providing actionable feedback and coaching engineers
  • Excellent interpersonal skills with both technical and non-technical audiences
  • Experience building SaaS software with a focus on operational excellence
  • Experience collaborating with legal stakeholders on a global scale
Job Responsibility
Job Responsibility
  • Be a people manager for your engineers (~10-15 people)
  • Own the delivery of critical projects, multiple streams of work at once, mainly focusing on: Build Privacy Tools: Create systems to make privacy checks part of the product design process and SDL
  • Work with Experts: Collaborate with legal, data governance, and compliance teams
  • Achieve Certifications: Help Atlassian get recognized privacy certifications like ISO 27701
  • Closely collaborate with key stakeholders in the USA, Australia, and India to understand the key certification, legal, and privacy requirements while maintaining a deep understanding of our products and platform capabilities
  • Lead your team through incidents and high operational load, navigate ambiguity, and make trade-offs and hard decisions
  • Develop adequate processes and practices and work with leaders across the company to mature Atlassian’s privacy posture through high-quality data and scaling solutions
What we offer
What we offer
  • Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more
  • Fulltime
Read More
Arrow Right

Senior Data Engineering Architect

Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...
Location
Location
United States
Salary
Salary:
110000.00 - 125000.00 USD / Year
vaniamgroup.com Logo
Vaniam Group
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...
Location
Location
India
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years’ experience in the Data & Analytics area
  • 4+ years’ experience into Data Engineering Architecture
  • Proficiency in Python, PySpark, SQL
  • Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
  • 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
Job Responsibility
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
What we offer
What we offer
  • Stable employment
  • “Office as an option” model
  • 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
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
Read More
Arrow Right

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...
Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 6 years of professional experience in the Data & Analytics area
  • 1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
  • Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
  • Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
  • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
  • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
  • Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
  • Knowledge of data management principles and best practices, including data governance, data quality, and data integration
  • Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
  • Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Job Responsibility
Job Responsibility
  • Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
  • Develop and execute a cloud data strategy aligned with organizational goals
  • Lead data integration efforts, including ETL processes, to ensure seamless data flow
  • Implement security measures and compliance standards in cloud environments
  • Continuously monitor and optimize data solutions for cost-efficiency
  • Establish and enforce data governance and quality standards
  • Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
  • Work with cross-functional teams to understand requirements and provide data solutions
  • Maintain comprehensive documentation for data architecture and solutions
  • Mentor junior team members in cloud data architecture best practices
What we offer
What we offer
  • Stable employment
  • “Office as an option” model
  • Workation
  • 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
  • Upskilling support
Read More
Arrow Right

Principal Data Engineer

We are seeking an experienced Principal Data Engineer to define, lead, and scale...
Location
Location
United Kingdom , Thame; Leeds
Salary
Salary:
80000.00 - 100000.00 GBP / Year
pexa.co.uk Logo
PEXA UK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Broad experience as a Data Engineer including technical leadership
  • Broad cloud experience, ideally both Azure and AWS
  • Deep expertise in PySpark and distributed data processing at scale
  • Extensive experience designing and optimising in Databricks
  • Advanced SQL optimisation and schema design for analytical workloads
  • Strong understanding of data security, privacy, and GDPR/PII compliance
  • Experience implementing and leading data governance frameworks
  • Proven experience leading the design and operation of a complex data platform
  • Track record of mentoring engineers and raising technical standards
  • Ability to influence senior stakeholders and align data initiatives with wider business goals
Job Responsibility
Job Responsibility
  • Design and oversee scalable, performant, and secure architectures on Databricks and distributed systems
  • Anticipate scaling challenges and ensure platforms are future-proof
  • Lead the design and development of robust, high-performance data pipelines using PySpark and Databricks
  • Define and ensure testing frameworks for data workflows
  • Ensure end-to-end data quality from raw ingestion to curated, trusted datasets powering analytics
  • Establish and enforce best practices for data governance, lineage, metadata, and security controls
  • Ensure compliance with GDPR and other regulatory frameworks
  • Act as a technical authority and mentor, guiding data engineers
  • Influence cross-functional teams to align on data strategy, standards, and practices
  • Partner with product, engineering, and business leaders to prioritise and deliver high-impact data initiatives
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy