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# ETL Developer

- **Company:** Vantor Inc.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Systems Engineering, Big Data, Data Integration, Extract Transform Load (ETL), Data Retrieval, Database Design, Issue Tracking Systems, Python (Programming Language), PostgreSQL, Performance Tuning, Cloud Services, Standard Sql, Application Data, Software Engineering, Software Requirements Analysis, SQL Databases, Data Streaming, Virtualization Technology, Data Processing, Data Ingestion, Indexer, Git, Information Technology, Apache Nifi, Data Management, Software Version Control, Data Pipelines
- **Published:** October 14, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9240425/etl-developer

## About the Role

+ Bachelor's degree with 8+ years of relevant experience, OR
 + Master's degree with 7+ years of experience, OR
 + Doctorate with 6+ years of experience
 * Degree in Computer Science, Systems Engineering, Geography, or a related technical field
 * Active TS/SCI clearance with required polygraph
 * U.S. Citizenship required
 * Willingness to work onsite full-time
 * Willingness to develop NiFi flows using existing best practices
 * Strong understanding of ETL concepts and best practices
 * Strong experience with databases for data management
 * Proficiency in SQL for querying large datasets
 * Experience with API integration and data retrieval
 * Demonstrated experience with programmatic data manipulation
 * Competency to rapidly adopt containerized development proficiency
 * Competency to rapidly adopt AWS architecture proficiency
 * Competency to rapidly adopt NiFi registry and Git for code management

Preferred Qualifications:

 * Creativity to experiment and recommend best practice coding improvements
 * Drive to adopt and recommend AI into development processes
 * Ability to design and develop custom NiFi processors using Java
 * Experience with AWS cloud services for data ingestion and processing
 * Strong experience with PostgreSQL for data management
 * Hands-on experience with Apache Airflow
 * Hands-on experience with Apache NiFi
 * Hands-on experience with NiFi registry and Git
 * Hands-on experience with Git and repository actions and pull requests
 * Hands-on experience in Python for data manipulation and API interfacing
 * Experience working with geospatial data and related tool
 * Understanding of basic data science concepts and tools

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

## Description

We are seeking an experienced ETL Developer to provide onsite support for a geospatial visualization platform. This role focuses on developing, maintaining, and optimizing data pipelines to ensure reliable data flow into a PostgreSQL database. The ideal candidate will have strong experience in ETL processes, data integration, and working with large, complex datasets, including geospatial data., * Design, develop and manage ETL workflows using Apache NiFi to support a geospatial visualization platform

 * Learn the nuances of the existing NiFi system and the related AWS and PostgreSQL infrastructure in order to monitor and troubleshoot real time issues
 * Obtain an understanding of existing NiFi flows with minimal support from others
 * Develop new NiFi flows that adopt best practices of existing NiFi flows
 * Take feedback on NiFi flows and develop requested changes
 * Take direction and communicate status via a ticketing system
 * Interface with analysts via email, chat, and in person meetings to comprehend future data flow needs and refine general requirements into specific actions
 * Interface with a development cycle using a local development environment of containerized infrastructure and version control via Git and NiFi Registry
 * Gain competency in geospatial database design and employ best practices for table creation, indexing, and unique constraints
 * Take feedback from analysts on nuances to support application data layers
 * Programmatically manipulate and transform data from multiple sources
 * Query and analyze large datasets using SQL
 * Retrieve and process data from external systems via APIs
 * Support data quality, integrity, and performance optimization efforts
 * Understand Python and data science frameworks while differentiating between experimental prototypes and enterprise level software requirements
 * Develop Python in support of data science related efforts or ETL prototypes