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Cybersecurity Data Engineer Jobs in Rochester Hills, MI

NITS Solutions

Data and Security Manager

Novi, MI · On-site

... and embeds cybersecurity best practices into analytics workflows. The position acts as a critical bridge between data engineering, analytics teams, and client security requirements. Key ...

KYYBA Inc

Cyber Security Architecture Manager

Detroit, MI · On-site

$109K - $148K/yr

... data services. • Manage and guide cybersecurity architecture and engineering teams on enterprise security initiatives. • Partner with development teams to integrate security into SDLC and ...

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All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Rochester Hills, MI

Cybersecurity Data Engineer information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do cybersecurity data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for cybersecurity data engineer in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer, and why are they important?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in Rochester Hills, MI? For Cybersecurity Data Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Rochester Hills, MI look for? The top searched job categories for Cybersecurity Data Engineer jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Cybersecurity Data Engineer jobs? Cities near Rochester Hills, MI with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you
Infographic showing various Cybersecurity Data Engineer job openings in Rochester Hills, MI as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.
Data and Security Manager

Data and Security Manager

NITS Solutions

Novi, MI • On-site

Other

Posted 4 days ago

Job description

Company Background
NITS Solutions Inc., headquartered in Novi, Michigan, is a privately held technology and data 
analytics firm that specializes in transforming complex data into actionable business intelligence for clients across sectors, including Fortune 500 companies. Established in 2009, the company combines proprietary analytics, cloud-based solutions, and industry expertise to help organizations optimize performance, enhance marketing effectiveness, and support data-driven decision-making. With a focus on innovation and client collaboration, NITS develops custom technology platforms and CRM tools that unlock insights hidden within large datasets and support strategic growth initiatives.


Position Overview
The Data and Security Manager is responsible for safeguarding NITS Solutions Inc.’s data 
assets and analytics platforms, with a particular focus on protecting sensitive automotive client data, including connected vehicle, telematics, and operational datasets. This role leads the development of secure data pipelines, ensures compliance with automotive industry standards, and embeds cybersecurity best practices into analytics workflows. The position acts as a critical bridge between data engineering, analytics teams, and client security requirements.

Key Responsibilities

• Establish and enforce data governance frameworks for automotive datasets, including 
telematics and IoT data 
• Secure data pipelines used for ingestion, transformation, and analytics (ETL/ELT 
processes) 
• Design and maintain security architecture for analytics environments such as data lakes 
and warehouses 
• Protect cloud-based analytics infrastructure (AWS, Azure, or Google Cloud Platform) and implement 
encryption and anonymization techniques 
• Ensure compliance with standards such as ISO/SAE 21434, GDPR, CCPA, and TISAX 
• Conduct risk assessments and manage third-party/vendor security risks involving 
OEMs and suppliers 
• Secure APIs and data-sharing platforms used across automotive ecosystems 
• Oversee identity and access management (IAM) and enforce access controls across 
systems.
• Lead incident response, investigations, and disaster recovery planning for data-related 
security events 
• Collaborate with internal teams and clients while leading security initiatives and 
training programs.


Required Qualifications

• Bachelor’s degree in Computer Science, Information Security, Data Science, or related 
field (Master’s preferred)
• 5–10+ years of experience in cybersecurity, data security, or data governance in analytics 
environments
• Experience with automotive data, IoT systems, or connected vehicle platforms preferred
• Strong knowledge of data security in analytics ecosystems and big data technologies 
(e.g., Snowflake, Spark, Databricks)
• Proficiency in cloud security (AWS, Azure, or Google Cloud) and securing data 
pipelines
• Familiarity with security frameworks and regulations such as ISO 27001, NIST, SOC 2, 
GDPR, and ISO/SAE 21434
• Relevant certifications such as CISSP, CISM, CISA, CDMP, or cloud security 
certifications preferred
• Strong leadership, communication, and analytical skills with the ability to manage risk 
and collaborate across team

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