ETL Developer

Vantor Services•McLean, VA

2d•Onsite

About The Position

Vantor is 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. This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph. U.S. Citizenship is required.

Requirements

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

Nice To Haves

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 tools
Understanding of basic data science concepts and tools

Responsibilities

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