Data Pipeline Engineer (Junior – Mid)

Summary

SERVISS delivers cybersecurity and IT solutions for government and commercial clients, including data services for the DHS CDM Data Services Program. The Data Pipeline Engineer will help build and maintain ingestion pipelines that move asset and cyber-intelligence data from SaaS platforms into Elasticsearch, while monitoring pipeline health, validating data, and supporting Elastic Stack and DevSecOps operations.

Responsibilities

• 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
• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• 100% of medical, vision, dental, and life insurance premiums paid for by SERVISS
• 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