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Data Anonymization Jobs in Michigan (NOW HIRING)

... data including encryption and anonymization. Develop and maintain back-end applications like APIs and microservices using server-side languages Skills Required:AIPGEE, Angular, SPRING, Spring Boot ...

Senior Java GCP Engineer

Dearborn, MI ยท On-site

$114K - $151K/yr

... user data including encryption and anonymization. 10. Create user-friendly and interactive interfaces 11. Develop and maintain back-end applications like APIs and microservices using server-side ...

Senior Mobile Engineer W2

Dearborn Heights, MI ยท On-site

$123K - $154K/yr

Support security practices to safeguard user data including encryption and anonymization. * Create user-friendly and interactive interfaces * Develop and maintain native Mobile application * Evaluate ...

Senior AI/ML Software Engineer

Dearborn, MI ยท On-site

$112K - $148K/yr

... user data including encryption and anonymization. 10. Create user-friendly and interactive interfaces 11. Develop and maintain back-end applications like APIs and microservices using server-side ...

MuleSoft Developer

Dearborn Heights, MI ยท On-site

$46.25 - $61.50/hr

Support security practices to safeguard user data including encryption and anonymization. 10. Create user-friendly and interactive interfaces * Develop and maintain back-end applications like APIs ...

... data including encryption and anonymization. Create user-friendly and interactive interfaces Develop and maintain back-end applications like APIs and microservices using server-side languages Skills ...

Support security practices to safeguard user data including encryption and anonymization. * Create user-friendly and interactive interfaces * Develop and maintain back-end applications like APIs and ...

Sr. Backend Developer

Dearborn, MI ยท On-site

$61 - $66/hr

Implement security measures to protect user data (encryption, anonymization). * Design user-friendly, interactive interfaces. * Develop and maintain back-end services, APIs, and microservices.

Implement security measures to protect user data (encryption, anonymization). * Design user-friendly, interactive interfaces. * Develop and maintain back-end services, APIs, and microservices.

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Data Anonymization information

What is data anonymization?

Data anonymization is the process of transforming personal or sensitive data so that individuals cannot be identified, either directly or indirectly. This is typically achieved by removing or encrypting identifiers such as names, addresses, or social security numbers, and sometimes by aggregating data. The goal is to protect privacy while still allowing the data to be used for analysis or research. Data anonymization is crucial in complying with privacy regulations like GDPR and HIPAA. Properly anonymized data helps organizations minimize risk while making valuable data available for insights and decision-making.

Why is anonymization a challenge of cyber security?

Data anonymization is a challenge in cybersecurity because it involves balancing data privacy with the need for data utility, making it difficult to remove all identifying information without losing valuable insights. Skilled professionals must understand techniques like masking and encryption, and stay updated on evolving threats and standards to effectively protect sensitive data while maintaining compliance.

What is the difference between Data Anonymization vs Data Masking?

AspectData AnonymizationData Masking
PurposeTo permanently remove or alter identifiable information to protect privacyTo temporarily hide sensitive data for testing or training
MethodData is irreversibly transformedData is reversibly masked or obscured
Use CasesData sharing, privacy compliance, anonymized analyticsTesting, development, user training
Impact on DataData becomes non-identifiable and unusable for original purposesData remains usable but obscured

While both Data Anonymization and Data Masking aim to protect sensitive information, Data Anonymization permanently alters data to prevent re-identification, making it suitable for privacy compliance and sharing. Data Masking temporarily obscures data for testing or training, allowing data usability while protecting sensitive details.

How to make a career in data privacy?

A career in data privacy often involves roles like data privacy analyst or data protection officer, requiring knowledge of data protection laws such as GDPR and CCPA. Building skills in data security, privacy frameworks, and tools like data masking and encryption, along with relevant certifications like CIPP or CIPM, can enhance job prospects in this field.

What are some common challenges faced by professionals working in data anonymization roles?

Professionals in data anonymization often encounter challenges such as balancing data utility with privacy, ensuring compliance with evolving data protection regulations, and addressing the risk of re-identification. The work typically involves collaborating closely with data engineers, analysts, and legal teams to determine the appropriate anonymization techniques for various datasets. Staying updated on new privacy tools and methodologies is crucial, as is adapting processes to fit the unique needs of each project or organization.

What does a data privacy specialist do?

A data privacy specialist is responsible for developing and implementing policies to protect sensitive information and ensure compliance with data privacy laws. They analyze data handling processes, conduct risk assessments, and often work with tools like data masking and encryption to safeguard personal data. Their role helps organizations prevent data breaches and maintain user trust.

What does data anonymization do?

Data anonymization is a process used by data anonymization specialists to remove or obscure personally identifiable information from datasets, ensuring individual privacy while maintaining data utility. It helps organizations comply with privacy regulations and reduces the risk of data breaches during analysis or sharing. Skills in data masking, encryption, and understanding of privacy standards are important for this role.

What are the key skills and qualifications needed to thrive in Data Anonymization, and why are they important?

To thrive in Data Anonymization, you need expertise in data privacy principles, knowledge of statistical methods, and a background in computer science, information security, or related fields. Familiarity with tools like ARX, sdcMicro, and programming languages such as Python or R, as well as understanding of regulations like GDPR, is typically required. Strong analytical thinking, attention to detail, and effective communication skills set professionals apart in this field. These competencies are crucial for ensuring sensitive information is protected while maintaining data utility for analysis and compliance.
What are popular job titles related to Data Anonymization jobs in Michigan? For Data Anonymization jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Anonymization jobs? Cities in Michigan with the most Data Anonymization job openings:
Infographic showing various Data Anonymization job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Java Backend Developer ( Local Only)

Java Backend Developer ( Local Only)

Megan soft Inc

Dearborn, MI โ€ข On-site

$46.50 - $60.25/hr

Other

Posted 6 days ago


Job description

Job Title: Senior Full-Stack Software Engineer (Back-End Java)
Location : Dearborn, MI (Hybrid)
Duration: 12+ Months
Experience: 8+ Years
Client : Ford Motors
ย 
Position Description:
ย 
  • We are seeking an experienced Senior Full-Stack Software Engineer with strong back-end Java expertise. In this role, you will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. You will work across the entire software development lifecycleโ€”from architecture design and coding to testing and deploymentโ€”while collaborating with cross-functional teams to deliver high-quality solutions.
  • Key Responsibilities:
  • Partner with customers and stakeholders to understand use cases, pain points, and requirements, ensuring user-centric solutions.
  • Design, develop, and deliver scalable applications using modern tools, languages, frameworks, and agile methodologies.
  • Define high-level software architecture, including structure, components, and interfaces.
  • Develop and maintain back-end applications such as APIs and microservices using Java and other server-side technologies.
  • Create user-friendly, interactive interfaces for front-end components.
  • Define and implement testing strategies, policies, and processes to ensure software quality.
  • Support security practices to safeguard user data, including encryption and anonymization.
  • Continuously improve application performance and optimize efficiency.
  • Collaborate with product owners, designers, architects, and other team members throughout the development lifecycle.
  • Stay current with emerging technologies and incorporate them into solutions when appropriate.
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Skills Required:
  • Strong experience with Java (back-end development).
  • Proficiency with GCP Cloud Run, BigQuery, and software development best practices.
  • Familiarity with test-driven development, continuous integration, and continuous delivery (CI/CD).
  • Experience Required:
  • 10+ years of IT experience, with at least 8+ years in software development.
  • Proficiency in at least 2 programming languages, or advanced expertise in one.
  • Experience in guiding and mentoring other engineers.
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Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1ย ย (248) 671-4750
E Mail : Koti@megansoft.com
Website :ย www.megansoft.com
Linked In ID :ย www.linkedin.com/in/koti-azmeera-104253335