Data Protection / Privacy Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job 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 document data flows that enable analysis and enforcement of data privacy
• Develop a comprehensive understanding of Mathematica, client and partner data operations and organizations
• Implement data strategies, including architecting, securing and tagging large, unstructured data sets in an enterprise setting
• Develop data protection and privacy requirements for product and system development efforts
• In collaboration with other stakeholders, develop collection, access, management and disposition policies, processes and procedures based on client, partner and Mathematica requirements

Position Requirements:

Requirements:

• Bachelor’s degree in Computer Science, Data Analytics, MIS, Software Engineering, Business or equivalent combination of education and experience
• 8-10 years of experience with data protection, data compliance, and privacy engineering, with 3-5 years leading a team focused on the Responsibilities (above) and leading work as a Subject Matter Expert
• Experience in implementing data strategies, including architecting, securing and tagging in an enterprise setting
• Experience with a variety of data protection tools and capabilities
• Ability to apply data governance and data lifecycle management concepts to product / system development
• Experience working with large, unstructured data sets containing protected data
• Demonstrate a proactive, self-starter mentality
• One or more of the following certifications: CDMP, CIPP, CIPT. Additionally, AWS, CISSP or CISM certification a plus

Desired skills/knowledge:

• Experience collaborating with legal and compliance teams
• Experience with concepts related to data bias
• Exposure to analytics, machine learning and artificial intelligence
• Expertise in writing, presenting, discussing and socializing data security, privacy and lifecycle topics with colleagues of various experience levels
• Mentorship / teaching / outreach experience sharing / promoting knowledge about securing data pipelines, techniques and tools
• Hands-on experience implementing and documenting security programs based on FISMA, FedRAMP, HIPAA or other data regulations
• Health industry experience with organizations such as the Centers for Medicare and Medicaid Services (CMS), State Medicaid or Children’s Health Insurance Programs (CHIP), Departments of Health or provider and payor organizations
• Hands-on experience with AWS native data lifecycle and pipeline solutions, relational and non-relational databases and data integration tools (such as Talend), and related / complementary open-source software platforms and languages (e.g. Angular, Java, Linux, Apache, Python)
• Hands-on experience with agile systems development to promote quick wins in meeting data governance goals
• Security and privacy consulting experience, or demonstrated consultative mentality

To apply, please submit a cover letter, resume, location preference, salary expectations, and writing sample based on recent and relevant work. For the writing sample, we prefer an example of a work product that illustrates the Responsibilities and Requirements outlined in the position description.

In addition to the writing sample, in one brief paragraph either as part of your cover letter or in an attachment, please describe your experience creating a data protection strategy.

This position offers an anticipated annual base salary range of $100,000 - $140,000. This position may be eligible for a discretionary bonus based on company and individual performance.