Lead Data Engineer with Data Security
Job Title: Sr. Data Security Engineer
Location: Glendale, CA (Hybrid – 2 days onsite/week, must live within 30 miles; up to 4 days onsite if required)
Duration: 18 Months
Interview Mode: 2 Rounds via Video
Pay Rate: $70-$80/hour C2C (All-Inclusive)
Job Description:
The client is seeking a highly skilled Sr. Data Security Engineer to join their Data Engineering team. This role will be instrumental in securing data infrastructure and pipelines across a modern data ecosystem. The ideal candidate will have hands-on experience with key data tools and a strong background in end-to-end data security and governance.
Key Responsibilities:
• Implement and maintain data security practices across data platforms including Snowflake, Tableau, Fivetran, and Immuta.
• Manage the complete data security lifecycle: data creation, ingestion, transformation, storage, and access control.
• Ensure compliance with internal security frameworks and external regulatory requirements (GDPR, CCPA, HIPAA).
• Collaborate with data engineering and platform teams to secure ETL/ELT processes.
• Design and enforce user access controls, data masking, and encryption mechanisms across tools and platforms.
• Utilize Airflow for orchestration of secure, scheduled data workflows.
• Implement real-time data streaming and processing solutions using Kafka and Apache Spark.
• Build and scale secure, performant data pipelines and analytics platforms using Databricks and Delta Lake.
• Conduct regular security audits and vulnerability assessments of data systems.
Required Technical Skills:
Data Security Tools Experience:
• Snowflake: Strong experience with cloud data warehousing, data encryption, access controls, and role-based permissions.
• Tableau: Familiarity with secure data visualization, implementing row-level security, and controlling access to sensitive dashboards/data sources.
• Fivetran: Knowledge of secure data integration pipelines, encryption-in-transit, and secure connectors.
• Immuta: Hands-on experience with data policy enforcement, dynamic data masking, and automated access controls.
End-to-End Data Security Ownership:
• Proven track record of owning data security across the full lifecycle — ingestion to consumption.
• Strong understanding of compliance, governance, and audit controls in enterprise data platforms.
Tech Stack:
• Airflow: Experience building and scheduling DAGs, with a focus on data orchestration security.
• Spark: Experience with batch and streaming data processing using Apache Spark in secure environments.
• Databricks: Hands-on experience building scalable, secure pipelines using Databricks on top of Spark.
• Delta Lake: Familiarity with ACID-compliant storage and managing secure, large-scale datasets.
• Kafka: Real-time data streaming experience with Kafka, including secure stream processing and high-throughput data flow.
Preferred Qualifications:
• Experience in large-scale data environments in the entertainment or media industry.
• Familiarity with data privacy regulations (GDPR, HIPAA, CCPA).
• Excellent collaboration and communication skills.
• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field.
Job Title: Sr. Data Security Engineer
Location: Glendale, CA (Hybrid – 2 days onsite/week, must live within 30 miles; up to 4 days onsite if required)
Duration: 18 Months
Interview Mode: 2 Rounds via Video
Pay Rate: $70-$80/hour C2C (All-Inclusive)
Job Description:
The client is seeking a highly skilled Sr. Data Security Engineer to join their Data Engineering team. This role will be instrumental in securing data infrastructure and pipelines across a modern data ecosystem. The ideal candidate will have hands-on experience with key data tools and a strong background in end-to-end data security and governance.
Key Responsibilities:
• Implement and maintain data security practices across data platforms including Snowflake, Tableau, Fivetran, and Immuta.
• Manage the complete data security lifecycle: data creation, ingestion, transformation, storage, and access control.
• Ensure compliance with internal security frameworks and external regulatory requirements (GDPR, CCPA, HIPAA).
• Collaborate with data engineering and platform teams to secure ETL/ELT processes.
• Design and enforce user access controls, data masking, and encryption mechanisms across tools and platforms.
• Utilize Airflow for orchestration of secure, scheduled data workflows.
• Implement real-time data streaming and processing solutions using Kafka and Apache Spark.
• Build and scale secure, performant data pipelines and analytics platforms using Databricks and Delta Lake.
• Conduct regular security audits and vulnerability assessments of data systems.
Required Technical Skills:
Data Security Tools Experience:
• Snowflake: Strong experience with cloud data warehousing, data encryption, access controls, and role-based permissions.
• Tableau: Familiarity with secure data visualization, implementing row-level security, and controlling access to sensitive dashboards/data sources.
• Fivetran: Knowledge of secure data integration pipelines, encryption-in-transit, and secure connectors.
• Immuta: Hands-on experience with data policy enforcement, dynamic data masking, and automated access controls.
End-to-End Data Security Ownership:
• Proven track record of owning data security across the full lifecycle — ingestion to consumption.
• Strong understanding of compliance, governance, and audit controls in enterprise data platforms.
Tech Stack:
• Airflow: Experience building and scheduling DAGs, with a focus on data orchestration security.
• Spark: Experience with batch and streaming data processing using Apache Spark in secure environments.
• Databricks: Hands-on experience building scalable, secure pipelines using Databricks on top of Spark.
• Delta Lake: Familiarity with ACID-compliant storage and managing secure, large-scale datasets.
• Kafka: Real-time data streaming experience with Kafka, including secure stream processing and high-throughput data flow.
Preferred Qualifications:
• Experience in large-scale data environments in the entertainment or media industry.
• Familiarity with data privacy regulations (GDPR, HIPAA, CCPA).
• Excellent collaboration and communication skills.
• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field.
