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$160k – $170k per year
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In office (Irving)
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Staff
Employment
Full-Time
Removed from the employer's board on Nov 5, 2026. First seen by Alion on Nov 4, 2026.
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Apolis is a technology consulting and staffing firm that recruits engineers for confidential clients. It is hiring a cloud cyber engineer for cloud-native security platform engineering across SIEM, data pipelines, data lakes and SOAR, supporting an AI-driven security operations capability. The company is based in New York, United States.
The hiring company is confidential. The Data Engineering Lead will design and develop cloud-native data ingestion and streaming solutions, lead data engineering teams, and ensure enterprise data platforms are reliable, performant, and maintain data integrity.
Responsibilities
- Collaborate with Principal Software Engineers and Data Architects to define solution architecture
- Lead the design and optimization of scalable data pipelines and Python-based microservices for real-time and batch processing
- Develop cloud-native data ingestion and streaming solutions using AWS services such as Kinesis, S3, DynamoDB, and EventBridge
- Own data integration frameworks and source data pipelines supporting CI Autonomy initiatives
- Translate business and technical requirements into scalable data architectures, workflows, mappings, and system designs
- Establish automated testing, data quality controls, and validation frameworks
- Monitor production data platforms, perform performance tuning, and conduct root-cause analysis using tools such as AWS CloudWatch
- Ensure high availability, service reliability, data integrity, and compliance across distributed data ecosystems
- Lead teams in delivering high-throughput and scalable data engineering solutions
Skills
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- 8+ years of experience in data engineering or related disciplines, with increasing responsibility
- Extensive experience with large-scale enterprise data platforms
- Strong hands-on experience developing and deploying Python solutions in production environments
- Experience leading teams in building high-throughput, scalable data pipelines
- Strong hands-on expertise with AWS services, including: + Amazon Kinesis + Amazon S3 + Amazon DynamoDB + Amazon EventBridge
- Strong SQL skills, including data quality and validation practices
- Experience developing microservices for real-time data ingestion
- Experience with relational and NoSQL databases
- Experience with CI/CD and deployment tools such as Azure DevOps, Jira, and Jenkins
- Knowledge of monitoring, testing, automation, and data integrity across distributed and streaming systems
- Caterpillar data platforms such as Helios Data Platform
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