About the Role
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs.
Responsibilities:
• Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls.
• Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment.
• Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model.
• Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options.
• Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control.
• Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations.
• Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
• Strong understanding of security role design, user access governance, and segregation-of-duties principles.
• Proficiency in Python for technical analysis, scripting, or support activities.
• Experience working with Apache Spark, Hadoop, and Kafka in data-focused environments.
• Background in ETL processes, including extracting, transforming, and loading data across systems.
• Ability to assess complex system configurations and translate findings into clear technical recommendations.
• Strong communication skills with the ability to collaborate effectively in remote or hybrid project settings.
Responsibilities:
• Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls.
• Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment.
• Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model.
• Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options.
• Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control.
• Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations.
• Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
Requirements
• Hands-on experience configuring and administering OpenLink in an enterprise environment.• Strong understanding of security role design, user access governance, and segregation-of-duties principles.
• Proficiency in Python for technical analysis, scripting, or support activities.
• Experience working with Apache Spark, Hadoop, and Kafka in data-focused environments.
• Background in ETL processes, including extracting, transforming, and loading data across systems.
• Ability to assess complex system configurations and translate findings into clear technical recommendations.
• Strong communication skills with the ability to collaborate effectively in remote or hybrid project settings.
You'll be redirected to Robert Half's application page
Job Details
Salary
Not disclosed
Location
United States - Cincinnati Ohio
Job type
Temporary
Category
Data Engineering
Experience
Mid
Posted
Today
Job Highlights
- Mid level role
- 100% Remote — open to candidates in United States
- Temporary position
About Robert Half
This job is hosted by Robert Half. Clicking Apply opens their site.
Remote Work Style
Mixed
Mix of flexible and scheduled meetings
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