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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ETL Engineer / Data Scientist - **Company:** Vantor Inc. - **Location:** Washington, GA, United States - **Salary:** $116,000 - $154,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon S3, Data Analysis, JIRA, Automation of Tests, Batch Processing, Configuration Management, Code Review, Information Systems, Data as a Services, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Linux System Administration, Machine Learning, Scrum Methodology, Ansible, Prometheus, Shell Script, Software Engineering, Data Logging, Data Processing, Grafana, Software Troubleshooting, Git, Containerization, Kubernetes, Information Technology, Data Analytics, Apache Nifi, Bitbucket, Data Management, Software Version Control, Data Pipelines, OpenSearch, Docker, Web Api - **Published:** November 5, 2026 - **Apply:** https://startup.jobs/etl-engineer-data-scientist-ts-sci-vantor-services-inc-10671798 ## About the Role To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee., * Current active TS/SCI security clearance and willingness and ability to obtain a CI polygraph. * Bachelor's degree in computer science, data science, engineering, information systems, or a 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 a 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 the ability to investigate pipeline failures and data quality issues. * Strong written and verbal communication skills and the ability to work effectively on a multidisciplinary team., * Experience with OpenSearch, Grafana, or Prometheus for search, monitoring, logging, or observability. * Familiarity with Jira for agile planning and work tracking. * Experience working with S3 or S3-compatible object storage. * Experience with Ansible for configuration management or automation. * Experience building or operating Docker containers. * Experience supporting data science, analytics, or machine-learning workflows. * Experience working in secure, disconnected, classified, or other restricted environments. * Experience in the Department of Defense or Intelligence Community. #cjpost #LI-CJ1 #LI-Onsite Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. ## 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. This role combines hands-on data engineering with practical data science skills. 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., * 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.