ETL Engineer & Data Scientist

Vantor (Maxar Intelligence); 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 seeks an ETL Engineer / Data Scientist to design and maintain data pipelines supporting mission applications, analytics, and data science workflows. You will build reliable ingestion, transformation, and delivery processes across sources, APIs, and Kubernetes environments.

This role blends hands-on data engineering with data science, working with software, platform, and mission teams in an agile setting to deliver scalable, secure data products and reliable operations.

Qualifications

• Bachelor's degree in computer science, data science, engineering, information systems, or related field, or equivalent professional experience.
• Strong working knowledge of Python for data processing, automation, or application development.
• Experience building or supporting ETL workflows and data pipelines.
• Experience with Apache NiFi or comparable workflow orchestration tool.
• Experience writing shell scripts for batch processing or system automation.
• Experience integrating systems through APIs and handling data exchanges.
• Familiarity with CI/CD pipelines and automated software delivery practices.
• Experience working with Kubernetes or containerized workloads.
• Working knowledge of Linux system administration.
• Experience using Git for version control and team development.
• Strong troubleshooting and analytical skills, including investigating pipeline failures and data quality issues.
• Strong written and verbal communication skills and ability to work on a multidisciplinary team.

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 in support of mission and customer needs.
• Collaborate with data scientists, software developers, platform engineers, and stakeholders to define data requirements and deliver usable data products.
• Deploy and support data services and workloads in Kubernetes-based environments.
• Support CI/CD pipelines and automated testing for data workflows and related software.
• Use Git and Bitbucket for source control, code review, and team collaboration.
• Perform Linux system administration tasks related to data processing, pipeline operations, and application support.
• Monitor pipeline execution, investigate failures, resolve data quality issues, and improve reliability and performance.
• Create and maintain technical documentation, workflow definitions, operational procedures, and troubleshooting guidance.
• Participate in agile ceremonies, backlog refinement, sprint planning, and technical reviews.
• Follow security and data-handling requirements for secure mission environments.

Skills

Python

ETL

Apache NiFi

Shell scripting

APIs

CI/CD

Kubernetes

Linux

Git

Troubleshooting

Communication

Education

Bachelor's degree in CS / Data Science / Engineering

Tools

OpenSearch

Grafana

Prometheus

Jira

S3

Ansible

Docker

Job description

Vantor seeks an ETL Engineer / Data Scientist to design and maintain data pipelines supporting mission applications, analytics, and data science workflows. You will build reliable ingestion, transformation, and delivery processes across sources, APIs, and Kubernetes environments.

This role blends hands-on data engineering with data science, working with software, platform, and mission teams in an agile setting to deliver scalable, secure data products and reliable operations.