Lead Security Data Engineer

• This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes.
• Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in several technical competencies while designing and implementing secure systems to protect APIs, streaming data pipelines, and databases, ensuring high performance and compliance.

• Strong programming skills in Java and Python, with experience in secure API development.
• Experience with container orchestration platforms (Kubernetes, OpenShift) and infrastructure automation.

• Knowledge of data streaming and processing platforms (Kafka, Databricks, Snowflake).
• Data Analytics Experience using common security tools (Splunk, Hadoop, Spark, Python)
• Hands-on experience with securing databases and implementing RBAC, encryption, and audit logging

• Details:
• This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes.
• Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in several technical competencies while designing and implementing secure systems to protect APIs, streaming data pipelines, and databases, ensuring high performance and compliance. The ideal candidate will drive innovation in data processing and collaborate across teams to deliver robust solutions.
• Strong programming skills in Java and Python, with experience in secure API development.
• Experience with container orchestration platforms (Kubernetes, OpenShift) and infrastructure automation.
• Knowledge of data streaming and processing platforms (Kafka, Databricks, Snowflake).
• Data Analytics Experience using common security tools (Splunk, Hadoop, Spark, Python)
• Hands-on experience with securing databases and implementing RBAC, encryption, and audit logging
• Hands-on experience designing and implementing secure data pipelines, ETL processes, and real-time streaming architectures (e.g., Kafka, Databricks).
• Proficiency in Java, Python, and scripting languages for secure application and integration development.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.