Senior Data Pipeline Engineer - serviss

Senior Data Pipeline Engineer

At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and commercial clients, with a mission to secure systems, data, and critical infrastructure through innovation and expertise. We don’t just deploy tools; we engineer mission platforms that become foundational systems of record for cyber operations, compliance automation, and national cyber readiness. From CISA CDM to DoW mission enclaves, our work shapes how government sees, governs, and defends its digital terrain.

On the DHS CDM Data Services Program, our engineers build the data pipelines and Elasticsearch platforms that give agency stakeholders a unified, single-pane-of-glass view of their cyber terrain.

Position Summary

SERVISS is seeking a Senior Data Pipeline Engineer to join an established, mission-critical Pipeline team on the DHS CDM Data Services / BETSIE Program. In this senior role, you will take a leading technical role in the data ingestion and pipeline function that collects asset and cyber-intelligence data from SaaS platforms, primarily Armis and Axonius, and delivers it into Elasticsearch to power a unified single-pane-of-glass dashboard for agency stakeholders.

Our customer’s requirements are dynamic and complex. The ideal candidate can engage resources and work across teams to decompose large, complex problems into workable solutions, set technical direction, and mentor junior engineers. An aptitude for strategic planning and the ability to communicate effectively at all levels of the organization are a must. The successful candidate will also serve as a liaison for the customer’s data-improvement efforts, participating in regular meetings, representing the program, and supporting the requirements-gathering process.

The Work

This is a hands-on engineering role. The selected candidate will:

• Architect, automate, and maintain scalable, fault-tolerant data processing pipelines that ingest asset, vulnerability, and configuration data from Armis, Axonius, and other SaaS/API sources into Elasticsearch
• Handle high-volume, high-velocity data collection, processing, and indexing to support near-real-time visibility
• Design Elasticsearch index strategies, mappings, ingest pipelines, and transforms; normalize disparate source data to a common schema (e.g., Elastic Common Schema) for consistent search, correlation, and reporting
• Build and maintain Kibana dashboards and visualizations that deliver a true single-pane-of-glass view of the agency's technical posture
• Own API integration patterns against evolving vendor APIs, including authentication and token management, pagination, rate limiting, incremental/delta ingestion, and resilient error handling and retry logic