Data engineer • gilbert az
Cybersecurity Data Platform Engineering.Enable analytics use cases such as.AWS-based data lake and analytics platforms.S3, Glue, Athena, Redshift, and Lambda.Data Engineering & Pipeline Development...Show more
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The average salary range is between $ 113,000 and $ 168,000 year , with the average salary hovering around $ 131,100 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Job Description
Cybersecurity Data Platform Engineering
Design and implement enterprise-scale cybersecurity data platforms for ingesting and analyzing security telemetry and threat intelligence.Build scalable pipelines for security logs, network telemetry, identity events, and endpoint data.Enable analytics use cases such as threat detection, anomaly detection, incident response, and security reporting.Cloud & Data Architecture
Architect and implement AWS-based data lake and analytics platforms using services such as S3, Glue, Athena, Redshift, and Lambda.Design secure and scalable Snowflake data platforms for security analytics workloads.Develop batch and streaming pipelines to process high-volume cybersecurity datasets.Data Engineering & Pipeline Development
Develop high-performance pipelines using PySpark, Spark SQL, Python, and AWS Glue.Build orchestration workflows using Apache Airflow for automated data processing and monitoring.Implement incremental and event-driven ingestion frameworks using messaging services such as SNS/SQS.Security, Governance & Compliance
Implement secure data architectures including encryption, IAM-based access controls, and RBAC.Support regulatory and security compliance through data governance, lineage, and audit logging.Ensure secure handling of sensitive security telemetry and threat intelligence data.Platform Performance & Cost Optimization
Optimize Snowflake performance and cost efficiency through warehouse tuning, clustering, and workload isolation.Implement monitoring, alerting, and automated optimization strategies for cloud data infrastructure.Improve query performance and resource utilization across AWS analytics services.Collaboration & Leadership
Partner with security operations (SOC), threat intelligence, and incident response teams to support cybersecurity analytics.Work closely with data scientists to enable ML-driven threat detection and behavioral analytics.Lead architecture discussions, code reviews, and technical mentoring for data engineering teams.Required Qualifications
12+ years of experience in data engineering or data platform developmentStrong expertise in AWS cloud data services (S3, Glue, Athena, Redshift, IAM)Advanced knowledge of Snowflake architecture, optimization, and securityProficiency in Python, PySpark, and SQLExperience with Apache Airflow orchestration frameworksHands-on experience building large-scale batch and streaming data pipelinesPreferred Qualifications
Experience working with security telemetry, SIEM, or cybersecurity analytics platformsKnowledge of threat detection pipelines and security data modelingExperience integrating with security tools such as Splunk, Sentinel, or other SIEM platformsFamiliarity with ML-based anomaly detection or behavioral analyticsExperience with Infrastructure-as-Code (Terraform) Job RequirementsCybersecurity Data Platform Engineering
Design and implement enterprise-scale cybersecurity data platforms for ingesting and analyzing security telemetry and threat intelligence.Build scalable pipelines for security logs, network telemetry, identity events, and endpoint data.Enable analytics use cases such as threat detection, anomaly detection, incident response, and security reporting.Cloud & Data Architecture
Architect and implement AWS-based data lake and analytics platforms using services such as S3, Glue, Athena, Redshift, and Lambda.Design secure and scalable Snowflake data platforms for security analytics workloads.Develop batch and streaming pipelines to process high-volume cybersecurity datasets.Data Engineering & Pipeline Development
Develop high-performance pipelines using PySpark, Spark SQL, Python, and AWS Glue.Build orchestration workflows using Apache Airflow for automated data processing and monitoring.Implement incremental and event-driven ingestion frameworks using messaging services such as SNS/SQS.Security, Governance & Compliance
Implement secure data architectures including encryption, IAM-based access controls, and RBAC.Support regulatory and security compliance through data governance, lineage, and audit logging.Ensure secure handling of sensitive security telemetry and threat intelligence data.Platform Performance & Cost Optimization
Optimize Snowflake performance and cost efficiency through warehouse tuning, clustering, and workload isolation.Implement monitoring, alerting, and automated optimization strategies for cloud data infrastructure.Improve query performance and resource utilization across AWS analytics services.Collaboration & Leadership
Partner with security operations (SOC), threat intelligence, and incident response teams to support cybersecurity analytics.Work closely with data scientists to enable ML-driven threat detection and behavioral analytics.Lead architecture discussions, code reviews, and technical mentoring for data engineering teams.Required Qualifications
12+ years of experience in data engineering or data platform developmentStrong expertise in AWS cloud data services (S3, Glue, Athena, Redshift, IAM)Advanced knowledge of Snowflake architecture, optimization, and securityProficiency in Python, PySpark, and SQLExperience with Apache Airflow orchestration frameworksHands-on experience building large-scale batch and streaming data pipelinesPreferred Qualifications
Experience working with security telemetry, SIEM, or cybersecurity analytics platformsKnowledge of threat detection pipelines and security data modelingExperience integrating with security tools such as Splunk, Sentinel, or other SIEM platformsFamiliarity with ML-based anomaly detection or behavioral analyticsExperience with Infrastructure-as-Code (Terraform)
