Senior Data Pipeline Engineer: Elasticsearch (Remote)

SERVISS - HUBZone Certified; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Equity Participation Program

Annual performance bonuses

401(k) retirement plan

Fully paid premiums: medical, vision,

Job summary

SERVISS, a cybersecurity solutions provider, is seeking a Senior Data Pipeline Engineer to join the DHS CDM Data Services / BETSIE Program. This hands-on role focuses on ingesting asset, vulnerability, and configuration data from SaaS sources into Elasticsearch and delivering near-real-time visibility to agency stakeholders.

The ideal candidate will architect scalable pipelines, design index strategies, mentor engineers, and collaborate across teams to ensure data quality and secure, compliant

Qualifications

• Six+ years delivering large-scale data pipelines and engineering.
• Experience with Elasticsearch/OpenSearch index design & ingestion.
• REST API integration with SaaS platforms.
• Proficiency in Python scripting and ETL/ELT tooling.
• Knowledge of data standards such as SCAP, STIX, EC Schema.
• Familiarity with NIST/FedRAMP and cyber policy practices.

Responsibilities

• Architect, automate, and maintain scalable data pipelines ingesting data into Elasticsearch.
• Design index strategies, mappings, and ILM for high-volume data.
• Build Kibana dashboards for a unified view of agency posture.
• Lead API integration patterns and data governance across teams.
• Mentor junior engineers and coordinate with customers.

Skills

Data pipeline design

Python scripting

Technical leadership

Stakeholder communication

CI/CD practices

Education

Bachelor's degree in Computer Science or related field

Tools

Elasticsearch

OpenSearch

Logstash/Beats

Kibana

Docker

Kubernetes

Terraform

Ansible

Job description

SERVISS, a cybersecurity solutions provider, is seeking a Senior Data Pipeline Engineer to join the DHS CDM Data Services / BETSIE Program. This hands-on role focuses on ingesting asset, vulnerability, and configuration data from SaaS sources into Elasticsearch and delivering near-real-time visibility to agency stakeholders.

The ideal candidate will architect scalable pipelines, design index strategies, mentor engineers, and collaborate across teams to ensure data quality and secure, compliant