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Data Classification Jobs (NOW HIRING)

Keel Infrastructure

Senior Data Engineer

New York, NY · On-site

$120K - $170K/yr

Data Classification & DLP Enablement * Lead the design and implementation of a data classification framework aligned with Keel's security, compliance, and business requirements. * Partner with ...

CNA

Data Security Director

Chicago, IL · On-site

Additional responsibilities include data classification, data privacy/risk assessments, and implementation of programs and data protection as a service. This position also has exposure to a range of ...

Cna

Data Security Director

Chicago, IL · Hybrid

Additional responsibilities include data classification, data privacy/risk assessments, and implementation of programs and data protection as a service. This position also has exposure to a range of ...

Clarivate

Data Security Analyst

Philadelphia, PA · Hybrid

If you have experience with Microsoft Purview, data classification, and DLP frameworks, we'd love to connect. About You - experience, education, skills, and accomplishments * Bachelor's degree in ...

Cna

Data Security Director

Plano, TX · Hybrid

Additional responsibilities include data classification, data privacy/risk assessments, and implementation of programs and data protection as a service. This position also has exposure to a range of ...

Clarivate

Data Security Analyst

Philadelphia, PA · On-site

If you have experience with Microsoft Purview, data classification, and DLP frameworks, we'd love to connect. About You - experience, education, skills, and accomplishments * Bachelor's degree in ...

Alignerr

Data Security & DLP Analyst

Dallas, TX · Remote

Your expertise in DLP, data classification, and security operations will directly shape how AI systems reason about data risk - making them more accurate, more nuanced, and more useful for security ...

Alignerr

Data Security & DLP Analyst

Miami, FL · Remote

This is a unique opportunity to apply your knowledge of DLP tools, data classification, and security operations to directly influence the next generation of AI systems. * Organization : Alignerr

Software Technology Inc

Data Analyst 2

Charlotte, NC · On-site

Data Analyst, Classification, Privacy, Security & Retention To be a primary first review of all data assets ingested into our MetaData collection platform, ensuring these assets are given an initial ...

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$46K

$165K

$243.5K

How much do data classification jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data classification in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Classification job?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

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

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What are the typical challenges faced in a Data Classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What are the roles of data classification?

Data classification involves categorizing data based on its sensitivity and importance to ensure proper handling, security, and compliance. It helps organizations implement appropriate access controls, protect sensitive information, and facilitate data management. Data classification is a key responsibility in data governance and often requires knowledge of security standards and tools.
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What cities are hiring for Data Classification jobs? Cities with the most Data Classification job openings:
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Data Classification jobs near you
Infographic showing various Data Classification job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Engineer

Keel Infrastructure

New York, NY • On-site

$120K - $170K/yr

Full-time

Medical, Retirement

Posted 27 days ago

Job description

Careers at Keel
Keel Infrastructure is a publicly traded energy and digital infrastructure company that develops and owns data centers and power assets across North America.
At Keel, you're not just joining a company, you're helping build the infrastructure behind the future of compute.
Why Keel
We're at the intersection of energy and technology, two industries transforming in real time.
The work is complex. The pace is fast. The impact is real.
You'll be part of a team that values:
  • Ownership- we take responsibility and follow through
  • Collaboration- we work across teams, functions, and borders
  • Curiosity- we ask questions and keep learning
  • Endurance- we build for the long term

What It Feels Like to Work Here
  • Fast-moving, high-growth, and hands-on
  • Smart, driven people solving real challengestogether
  • Work that directly supports AI and next-generation infrastructure
  • Room to grow, stretch, and take on more

What We Offer
  • Competitive salary, bonusand equity opportunities
  • Comprehensive health and wellness benefits
  • Retirement savings with company contribution
  • Employee referral program

We are currently looking for a Senior Data Engineer to join our team.
Compensation:
Expected Salary: $120,000 - $170,000 USD
What You Can Expect from This Role
The Senior Data Engineer will play a critical role in designing, building, and operating Keel's next-generation data platform. This role is responsible for architecting and implementing a modern Data Lakehouse, establishing a data classification program aligned with a new Data Loss Prevention (DLP) initiative, and partnering closely with business and technical stakeholders to understand, classify, and govern data across the organization.
This position requires strong technical depth in data engineering and architecture, combined with the ability to translate business needs, compliance requirements, and security objectives into scalable and well-governed data solutions.
Key Responsibilities
Data Platform & Lakehouse Architecture
  • Design, implement, and maintain a scalable Data Lakehouse architecture supporting analytics, reporting, and advanced workloads.
  • Define data ingestion, transformation, and storage patterns for structured, semi-structured, and unstructured data.
  • Establish best practices for data modeling, partitioning, performance optimization, and cost efficiency.
  • Ensure high availability, reliability, and data quality across the data platform.

Data Classification & DLP Enablement
  • Lead the design and implementation of a data classification framework aligned with Keel's security, compliance, and business requirements.
  • Partner with Cybersecurity and Compliance teams to support the rollout of a Data Loss Prevention (DLP) program.
  • Identify, tag, and manage sensitive data (e.g., financial, operational, personal, or regulated data) throughout the data lifecycle.
  • Ensure data classification is embedded into ingestion pipelines, storage layers, and access controls.

Stakeholder Engagement & Data Assessment
  • Work closely with business stakeholders, IT, Security, and Compliance teams to:
  • Assess existing and new data sources.
  • Understand data usage, criticality, and sensitivity.
  • Define classification levels, retention rules, and access requirements.
  • Translate stakeholder needs into technical data models, pipelines, and governance controls.
  • Act as a trusted advisor on data architecture, data governance, and data protection topics.

Data Governance & Security
  • Implement data access controls, lineage, and auditability in alignment with internal policies and regulatory requirements.
  • Support SOX, ITGC, and other compliance-driven data controls as applicable.
  • Contribute to the definition of data standards, naming conventions, and documentation.

Operations & Continuous Improvement
  • Monitor and optimize data pipelines for performance, reliability, and cost.
  • Troubleshoot and resolve complex data-related issues across environments.
  • Continuously evaluate new tools, technologies, and patterns to improve the data ecosystem.
  • Mentor junior engineers and contribute to internal knowledge sharing.

What We Are Looking For
  • 7+ years of experience in data engineering or data platform roles.
  • Proven experience designing and implementing data lake and/or lakehouse architectures.
  • Strong experience with data ingestion, ETL/ELT pipelines, and large-scale data processing.
  • Solid understanding of data classification, data governance, and data security concepts.
  • Experience collaborating with security or compliance teams on data protection initiatives (e.g., DLP, data privacy).
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders.

More Details
  • Work schedule: Monday-Friday, New York City office, 4 days on-site, 1 WFH
  • Job type: Full Time, Permanent

NYC
$120,000-$170,000 USD

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