Data Protection / Privacy Engineer

Data Protection / Privacy Engineer

  • Anywhere

Company Name:-
Mathematica Policy Research

Job Location:-
Washington, DC 20024 (Southwest Federal Center area)

Job Summary:-
Job detailsSalary$100,000 – $140,000 a yearFull Job DescriptionPosition Description:Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world.

We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding.

Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned.

As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength.

You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Learn more about our benefits here: https://www.

mathematica.

org/career-opportunities/benefits-at-a-glance
Mathematica is seeking a Data Protection / Privacy Engineer to join our growing group of experts in data governance, security, and compliance.

This role demands a high-energy, enterprising and resourceful candidate, who has hands-on experience in data classification and tagging, data loss prevention and privacy in cloud and on-prem environments.

This role will be working remotely for the time-being and will return to either the Princeton, NJ; Washington, DC; or Woodlawn, MD office at a later date.

At Mathematica, we take pride in our commitment to diversity.

Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

Responsibilities:
Build data security classification information into systems and processes for sensitive and regulated data, including but not limited to data subject to HIPAA, CCPA, GDPR and other privacy and security regulations
Design tactical data tagging and docume

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