ETL Developer - TS/SCI with Polygraph

ETL Developer – TS/SCI and polygraph Onsite

• Mc. Lean, VA TS/SCI and poly required @Orchard is retained by a top geospatial technology company in their search for an ETL Developer to work in their Intel sector advancing the national security mission through cutting edge technology. For this role, you must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities. 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.

Key Responsibilities

Design, develop and manage ETL workflows using Apache Ni. Fi to support a geospatial visualization platform Learn the nuances of the existing Ni. Fi system and the related AWS and PostgreSQL infrastructure in order to monitor and troubleshoot real time issues Obtain an understanding of existing Ni. Fi flows with minimal support from others Develop new Ni.

Fi flows that adopt best practices of existing Ni. Fi flows Take feedback on Ni. Fi 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 Ni.

Fi 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 Skills & Qualifications Experience: 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 Ni. Fi 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 Ni.

Fi 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 Ni. Fi 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 Ni.

Fi Hands-on experience with Ni. Fi 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 For pay transparency, this role will fall in the $200K- $250K range, based on experience.

Established in 2010, @Orchard has an exceptional reputation, providing talent acquisition solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery.

To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com .