Data Engineer

About iCOUNTER

iCOUNTER is a predictive cyber risk intelligence firm; we counter threats before they happen. We partner SIGINT and HUMINT with AI enabling our customers to counter the rising frequency, complexity, and precision targeting they are facing from adversaries. iCOUNTER has a related but distinct sister company, Apollo Information Systems.

iCOUNTER provides continuous observation of third parties in the criminal underground, going beyond static assessments and security ratings. We triage and deliver these collections empowering our customers to counter threats before they strike. We reduce the noise that security teams face by only delivering actionable alerts and mitigation strategies.

Our Culture

We are growing rapidly and have significant expansion plans and growth capital. We foster a collaborative environment where deep cybersecurity expertise meets business acumen, enabling our professionals to solve complex security challenges while building lasting client partnerships. We pride ourselves on our integrity and ethics. You’ll find smart, professional, mission-driven, hardworking, genuinely kind and good colleagues here.

We primarily work remotely but have hubs in Denver and Dallas.

Position Overview:

As a Data Engineer, you will play a crucial role in designing, developing, and optimizing data infrastructure and pipelines. A key part of your role will involve working with OpenSearch to develop search and analytics capabilities that power our products and internal tools.

The ideal candidate has experience owning and managing Data Lakes, performing Schema Management, and ensuring Data Sanitization. Experience with large unstructured data sets is a must as is experience in the Cybersecurity industry. You will work closely with an LLM team and help to make data more accessible.

This position is part off iCOUNTER’s continued growth and plays a crucial role in future company success and performance.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines for structured and unstructured data.
• Implement and manage Elasticsearch clusters to support advanced search functionality and analytics.
• Develop indexing strategies, custom analyzers, and optimized queries for performance.
• Collaborate with data scientists, analysts, and MLOps engineers to enable data access and usage across the organization.
• Monitor and troubleshoot data systems to ensure reliability, availability, and data integrity.
• Automate data ingestion, transformation, and orchestration processes using modern tools (e.g., Airflow, dbt, AWS Data Pipeline, AWS Glue).
• Apply best practices in security, monitoring, and observability across data infrastructure.
• Partner with CISO for security policy creating enforcement.
• Work directly with LLM training and development.
• Data sanitization including schema management, data accuracy, and mass data changes.

Qualifications

Required

• 4+ years of professional experience in Data Engineering.
• 3+ years building and maintaining lake house architectures using Apache HDFS + Apache Iceberg (or Delta Lake) on a distributed file system (Ceph/MinIO/S3).
• Proven track record designing ingestion pipelines with Kafka / Fluvio / Vector / NiFi that handle > 10 GB/s of telemetry.
• Handson expertise with Apache Airflow (or Prefect/Dagster) orchestrating Spark/Flink/Polars ETL workflows, including error handling and SLA monitoring.
• Ability to write and optimize SQL queries against Trino (PrestoSQL) on Iceberg tables and to create Elasticsearch indices for realtime search.
• Familiarity with metadata & governance tools (Ranger, Atlas, OpenMetadata) to enforce lineage, auditability, and RBAC.
• Knowledge of monitoring/observability stack (Prometheus, Grafana, ELK) to surface pipeline KPIs and incident alerts.
• Extensive experience configuring for security, scalability, and performance in production environments including features like sharding and replication to ensure data redundancy and fault tolerance.

Preferred

• Experience with cloud native streaming services (Kinesis, Pub/Sub, Event Hubs).
• Skills in GPU accelerated ML pipelines (vLLM, Spark MLlib, Rust Linfa).
• Container orchestration on Kubernetes and CI/CD tooling (GitOps, ArgoCD).

New Hire Expectations:

• At 30 days:
  • Become familiar with iCOUNTER Data Environment and Tools
• Within 60 days:
  • Tune existing processes for production-grade outputs for product deliverable
  • Become familiar with greater iCOUNTER team
• By 90 days:
  • Continue tuning outputs for expanded product portfolio
  • Support ad hoc requests across greater team

Values

We have created a fantastic corporate culture – our values drive our behaviors. Here are the expectations:

• Passion for cybersecurity and a commitment to maintaining the highest standards of security.
• Eagerness to learn and stay current with evolving cybersecurity trends.
• Strong attention to detail and the ability to work under pressure.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Integrity is paramount; honesty is a core value at iCOUNTER.

Completion of a Background Check is required for employment at iCOUNTER

Apollo/iCOUNTER is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Apollo/iCOUNTER provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.