Automation Engineer - Data Governance
New
R
RTXData governance
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary107,500 - 204,500 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- A minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and a minimum of 5 years of experience. The preferred qualifications also state 3–6 years of experience in automation, data engineering, integration engineering, or software engineering.
- Required Skills
- PythonSQLETLJavaOAuthCI/CDRESTful APIsJSON
Requirements
- Have a Bachelor’s degree and at least 8 years of relevant experience, or an Advanced Degree in a related field and at least 5 years of experience.
- Have experience with scripting or software development languages such as Python, Java, or PowerShell.
- Have experience developing and integrating REST APIs and working with JSON, OAuth, and API contracts.
- Have experience with ETL development, data integration, and workflow orchestration.
- Have experience with SQL and cloud or data platform technologies.
- Have experience with data profiling, validation, and data quality automation.
- Have experience with version control, CI/CD pipelines, and automation testing.
- U.S. citizenship is required.
Responsibilities
- Collaborate with internal customers and cross-functional teams to support data governance strategy and align initiatives with enterprise data goals.
- Design, develop, and maintain APIs, API contracts, scripts, and reusable automation components for data governance processes.
- Automate metadata ingestion, scanning, synchronization, and workflows across data governance platforms.
- Develop and maintain ETL pipelines for metadata processing and governance-related data movement.
- Automate data profiling, validation, data quality rule execution, and integration of data quality results.
- Build scheduled and event-driven automation for onboarding and managing newly created data assets.
- Implement logging, monitoring, retry logic, exception handling, and reconciliation processes.
- Test, deploy, troubleshoot, and maintain automation solutions for performance, reliability, and maintainability.
- Apply software engineering practices, including version control, CI/CD, and automated testing.
- Contribute to data governance roadmaps and tool requirements and identify process improvements.
View Full Description & ApplyYou'll be redirected to the employer's site
