Note: The job is a remote job and is open to candidates in USA. SERVISS is a company that delivers cutting-edge cybersecurity and IT solutions to government and commercial clients. They are seeking a Senior Data Pipeline Engineer to take a leading technical role in data ingestion and pipeline functions, ensuring efficient data processing and integration from various SaaS platforms into Elasticsearch.
Responsibilities
- Serve as a leading technical resource for the data ingestion and pipeline function on the DHS CDM Data Services / BETSIE Program
- Set technical direction and decompose large, complex problems into workable solutions across teams
- Establish and enforce data governance, validation, and documentation standards; review designs and mentor junior engineers on the team
- Serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting requirements gathering
- Communicate complex data and pipeline concepts to non-technical audiences, translating them into actionable recommendations
Skills
- US citizenship with the ability to obtain Public Trust Suitability
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (master's degree preferred)
- A minimum of six years of experience designing, implementing, and managing the technical delivery of large-scale data engineering or data pipeline services to diverse organizations
- 4+ years hands-on with Elasticsearch or OpenSearch: index design, mappings, ingest pipelines, query/aggregation, and cluster performance tuning
- Strong experience integrating REST APIs from SaaS platforms, including authentication, pagination, rate limiting, incremental ingestion, and resilient error handling
- Proficiency with a scripting/pipeline language (Python strongly preferred) and with ETL/ELT tooling such as Logstash, Elastic Agent/Beats, or equivalent
- Experience designing, implementing, and managing data schemas that comply with cyber-relevant data standards and frameworks, e.g., SCAP, STIX, OTEL, Elastic Common Schema, and Splunk Common Information Model
- Knowledge of data transformation processes and experience documenting and maintaining data lineage, especially traceability of transformed data to source data
- Solid data modeling and normalization skills for heterogeneous sources, including mapping to a common schema
- Knowledge of Federal Cybersecurity and Risk Management policies and practices, including FISMA; NIST SP 800-37, 800-53, 800-30, and 800-39; and FedRAMP
- Solid understanding of Git, version control workflows, and CI/CD
- Direct experience integrating Armis and/or Axonius, or comparable CAASM / asset-intelligence platforms (e.g., Tenable, Qualys, ServiceNow)
- Experience utilizing data cataloging and governance tools (e.g., Alation, Collibra)
- Containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible)
- CI/CD tooling (GitLab CI, Jenkins) and DevSecOps practices in cloud (AWS GovCloud / Azure Government a plus)
- Experience with monitoring/observability tooling and data-reconciliation frameworks
- Knowledge of cybersecurity tools and technologies
- Active DHS Public Trust or prior EOD
- Familiarity with Agile / SCRUM methodologies
- Strong problem-solving and analytical skills, with a sense of urgency and the ability to prioritize and balance multiple tasks
Benefits
- Highly competitive compensation and best in class benefits
- 100% of medical, vision, dental, and life insurance premiums paid for by SERVISS
- Be part of an exciting company with ground floor opportunities in the Equity Participation Program
- Opportunities for annual performance bonuses and growth incentives
- 401(k) retirement plan with 6% dollar for dollar match
Company Overview