ETL Engineer & Data Scientist — TS/SCI Secure Pipelines

Vantor Holdings, Inc.; Herndon (VA); On-site; USD 116,000 - 169,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking an ETL Engineer / Data Scientist to develop and maintain data pipelines that support mission applications, analytics, and data science workflows. The successful candidate will build reliable processes for ingesting, transforming, validating, and delivering data from multiple sources.

The engineer will work with software, platform, and mission teams to connect systems through APIs, automate batch processing, and deliver data in secure, scalable environments.

Qualifications

• Bachelor’s degree or equivalent professional experience in a related field.
• Strong Python for data processing, automation, or app development.
• Experience building or supporting ETL workflows and data pipelines.
• Experience with Apache NiFi or a comparable workflow orchestration tool.
• Experience writing shell scripts for batch processing or automation.
• Experience integrating systems via APIs and data exchanges.
• Familiarity with CI/CD pipelines and automated software delivery; experience with Kubernetes.

Responsibilities

• Design, develop, and maintain ETL workflows to ingest, transform, validate, and deliver data from multiple sources.
• Build and support automated data pipelines using Python, Apache NiFi, shell scripts, and related tools.
• Integrate systems and services using APIs, including developing and troubleshooting API calls and data exchanges.
• Develop batch processing scripts and workflows to support scheduled data movement and transformation.
• Apply data science techniques to explore, prepare, and analyze data for mission needs.
• Collaborate with data scientists, software developers, and stakeholders to define data requirements.
• Deploy and support data services in Kubernetes-based environments.
• Support CI/CD pipelines and automated testing for data workflows.

Skills

Python

ETL workflows

Apache NiFi

Shell scripts

APIs and data exchanges

CI/CD

Kubernetes

Linux

Git

Troubleshooting

Communication

Education

Bachelor’s degree in CS / Data Science / Engineering / Information Systems

Tools

Jira

OpenSearch

Grafana

Prometheus

S3

Ansible

Docker

Kubernetes

Job description

Vantor is seeking an ETL Engineer / Data Scientist to develop and maintain data pipelines that support mission applications, analytics, and data science workflows. The successful candidate will build reliable processes for ingesting, transforming, validating, and delivering data from multiple sources.

The engineer will work with software, platform, and mission teams to connect systems through APIs, automate batch processing, and deliver data in secure, scalable environments.