Remote Data Quality Jobs in Silver Spring, MD (NOW HIRING)

Remote Work:
Hybrid
Job Number:
R0242630
Location:
Arlington,VA,US
Share job via:
Share
Data Quality Engineer
The Opportunity:
Define and manage data quality analytics based on quality parameters. Develop a strategic roadmap with clear milestones to guide the organization's transition to its desired future state for data management. Lead exercises to create a complete inventory of the organization's data assets to identify what data exists and where it is located. Define the target future-state for a repeatable data quality strategy, outlining how quality will be monitored, tracked, and implemented. Build governance policies, stewardship standards, and access control frameworks while coordinating with platform engineers, cybersecurity officers, and mission analysts to maintain accurate metadata, asset documentation, and catalog traceability.
You Have:

• 4+ years of experience creating long-term data quality strategies that align with the organization's mission, including enterprise governance with data stored in a cloud environment
• 4+ years of experience developing data quality procedures by implementing profiling scripts, anomaly detection models, field-level validation rules, lineage tracking checks, and completeness scoring mechanisms
• 4+ years of experience writing and developing code using a database management tool
• 3+ years of experience in data quality, overall data governance, and policy
• Experience working with government organizations
• Experience establishing and supporting data governance programs, including the development of policies, standards, and processes
• Knowledge of the unique challenges and regulatory requirements of the public sector
• Ability to articulate complex data concepts to both technical and non-technical audiences
• Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience with Alation Data Catalog
• Experience with Python, Relational Database Management System (RDBMS), or SQL
• Experience with Master Data Management (MDM) methodology or MDM technologies
• Experience implementing "zero-trust" security architectures
• Knowledge of modern cybersecurity principles
• Possession of excellent communication and stakeholder management skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.