Note: The job is a remote job and is open to candidates in USA. Mastech is seeking a Compliance Data Engineer to build and enhance its compliance data foundation. The role develops Databricks data pipelines and security telemetry data products, and supports compliance monitoring, control assurance, analytics, and reporting.
Responsibilities
- Develop and maintain end-to-end Databricks ETL pipelines that transform raw compliance and security data into high-value data products
- Design scalable data solutions that support compliance monitoring, reporting, and control effectiveness assessments
- Ensure data accuracy, consistency, and usability across enterprise compliance initiatives
- Build and optimize Bronze, Silver, and Gold data layers
- Implement automated data orchestration and transformation pipelines
- Deliver structured, standardized, and consumption-ready compliance datasets
- Normalize and integrate high-volume telemetry data from enterprise security platforms, including:
- Develop scalable schemas and data models that support compliance analytics and continuous monitoring
- Partner with security and compliance stakeholders to translate requirements into data-driven control monitoring capabilities
- Design logic that enables automated testing of compliance controls and risk indicators
- Support Continuous Control Monitoring (CCM) strategies within a secure cloud data environment
- Develop dashboards, reports, and analytical applications within Databricks
- Deliver actionable insights into compliance performance, coverage gaps, and operational effectiveness
- Support advanced analytics and future AI/agent-driven compliance capabilities
- Manage code repositories, version control, and peer review processes using GitHub
- Implement automated monitoring, exception handling, and release management procedures
- Support deployment, testing, and promotion of code through development and production environments
Skills
- Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or related field
- 5-10 years of experience across:
- Data Engineering
- Cybersecurity Operations
- Security Analytics
- Compliance / GRC
- Strong experience with Databricks, Spark, and large-scale ETL pipeline development
- Experience building data workflows, orchestration frameworks, and analytics solutions
- Proficiency in data modeling, transformation, and normalization of security telemetry
- Experience working with cloud-based data lakes and compliance-focused data architectures
- Understanding of security controls, compliance frameworks, and risk management practices
- Experience translating policies and controls into measurable monitoring capabilities
- Knowledge of Continuous Control Monitoring (CCM) methodologies
- Hands-on experience with Git/GitHub, code reviews, CI/CD practices, and SDLC processes
- Strong communication skills with the ability to collaborate across technical and business teams
- Ability to translate complex technical concepts into business-focused compliance outcomes
- CISSP
- CRISC
- Databricks Certified Data Engineer Associate
- Databricks Certified Data Engineer Professional
- Experience developing custom Databricks applications, workflows, or agents
- Hands-on exposure to security data platforms and identity governance solutions
- Experience building enterprise compliance analytics programs
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