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Full-time
bachelor degree
Medical insurance, Vision insurance, Dental insurance, Life insurance, Equity Participation Program, Annual performance bonuses
Posted 13d ago
Apply by Oct 21
~40 hrs/week
Remote in Washington, District of Columbia, United States
Responsibilities
Build and maintain data ingestion pipelines that pull cyber-intelligence data from API sources into Elasticsearch. Monitor pipeline health, develop Kibana dashboards, and document operational runbooks to support a unified cyber terrain view.
Requirements
Requires a Bachelor's degree in Computer Science or a related field and 1 to 3 years of experience in data engineering or software development. Candidates must be US citizens capable of obtaining Public Trust Suitability and possess scripting skills in Python.
Full job description
Data Pipeline Engineer (Junior – Mid)
Location: Washington D.C. Area / Remote Employment Type: Full-Time
About SERVISS
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 Junior Data Pipeline Engineer to join an established Pipeline team on the DHS CDM Data Services Program, supporting the data ingestion and pipeline function. Working alongside senior engineers, you will help build and maintain the pipelines that pull asset and cyber-intelligence data from SaaS platforms, primarily Armis and Axonius, into Elasticsearch, feeding a single-pane-of-glass dashboard that agency stakeholders use to view all of their technical data in one place.
This is a hands-on role ideal for an early-career engineer who wants to grow deep expertise in data engineering, the Elastic Stack, and federal cybersecurity operations. The ideal candidate is a fast learner who can take direction, collaborate across teams, and steadily take on greater ownership as they ramp.
The Work
This is a hands-on engineering role. The selected candidate will:
Build, configure, and maintain data-ingestion jobs that pull data from Armis, Axonius, and other API sources into Elasticsearch, under the guidance of senior engineers
Write and maintain ingestion and transformation scripts (e.g., Python) and Logstash / ingest-pipeline configurations
Monitor pipeline health, triage failures, and investigate data-quality and data-freshness issues
Assist in developing and updating Elasticsearch mappings and Kibana dashboards and visualizations
Perform data validation and reconciliation checks between source platforms and Elasticsearch, and help maintain data lineage documentation
Support routine maintenance such as credential/token rotation, index cleanup, and retention tasks
Contribute code and configuration changes through Git and CI/CD, following team standards
Key Responsibilities
Work alongside senior engineers to build and maintain the pipelines that feed the agency's single-pane-of-glass dashboard on the DHS CDM Data Services / BETSIE Program
Take direction, collaborate across teams, and steadily take on greater ownership as you ramp
Document pipelines, configurations, and operational runbooks
Learn and apply data engineering, Elastic Stack, and DevSecOps best practices
Required Qualifications
US citizenship with the ability to obtain Public Trust Suitability
Bachelor's degree in Computer Science, Information Systems, or a related field
1 to 3 years of experience in data engineering, software development, systems/data analysis, or a closely related role (strong internship, lab, or academic project experience considered)
Scripting ability in Python (or a similar language) for data manipulation and automation
Familiarity with relational or NoSQL data concepts and basic data modeling
Exposure to Elasticsearch/OpenSearch or another search/analytics platform, or a demonstrated ability to ramp quickly
Understanding of REST APIs and working with JSON data
Familiarity with Git and version-control basics
Preferred Qualifications
Hands-on exposure to the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats)
Experience calling REST APIs and handling paginated or authenticated responses
Exposure to Armis, Axonius, or other asset-intelligence / security tooling
Familiarity with cyber-relevant data standards (e.g., SCAP, STIX, Elastic Common Schema, Splunk Common Information Model)
Familiarity with Docker, CI/CD, or cloud environments (AWS / Azure)
Interest in or exposure to federal cybersecurity, CDM, or FISMA reporting
Relevant coursework or certifications in data engineering, cloud, or cybersecurity
Familiarity with Agile / SCRUM methodologies
Freedom to Thrive.
Why Join SERVISS? Our goal as an employer is simple yet profound: to create an environment where you can be your best self, pursue your passions, and enjoy the freedom to thrive both personally and professionally. Your success is our success, and we're committed to supporting you every step of the way.
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
Additional Considerations for HUBZone applicants: Preference may be given to applicants residing in a federal HUBZone in support of SERVISS LLC’s HUBZone workforce objectives; all qualified candidates are encouraged to apply.
How to Determine HUBZone Residency: Candidates can verify HUBZone eligibility by entering their home address into the SBA HUBZone Map at https://maps.certify.sba.gov/hubzone/map. If your residence falls within a designated HUBZone area on the map, you are considered a HUBZone resident for hiring preference purposes.
Related keywords
Data PipelineElastic StackElasticsearchLogstashKibanaPythonREST APIJSONGitCI/CDDockerArmisAxoniusCybersecurityDHS CDMPublic Trust
Serving our Country, Clients, & Community -- Providing IT & Cyber Professionals the Freedom to Thrive
Industry
IT Services and IT Consulting
Company size
2-10 employees
Founded
2025
Headquarters
McHenry, Maryland
LinkedIn followers
266
SERVISS LLC, a HUBZone certified small business, delivers mission-critical information technology and cybersecurity solutions to the U.S. Federal Government and Department of Defense.
SERVISS empowers its clients through information innovation, optimization of complex systems, and the safeguarding of client data, applications, and networks with industry-best security capabilities.
We serve our Country by delivering expertise and innovation in information, systems, and security.
We serve our Clients by bringing qualified, trained, certified, and experienced operators and engineers.
We serve our Community as a catalyst for life-changing careers and positive impact to rural America.
Our approach is centered on proactive collaboration, deep industry knowledge, and a dedication to understanding our clients' challenges and delivering solutions that meet their objectives.
The SERVISS commitment to successful outcomes is relentless. Our culture and values puts our Country, Clients, and Community first, helping those we serve to thrive in an ever-evolving technology and security landscape.
We strive to be the trusted advisors that our customers and strategic partners rely on to navigate the complex landscape of Information, Systems, and Security.
Offices: 685 Mosser Rd, Suite 101, McHenry, Maryland 21541, US
Data ScienceSoftware EngineeringRisk ManagementInformation AssuranceCybersecuritySecurity EngineeringMachine LearningAIand Post-Quantum Cryptography
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