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GRVTY

ETL Developer

McLean, Virginia, United States; McLean, VAUnited States
Space Intelligence - Granite
POSTED 10 NOVVERIFIED 1H AGO
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Role
1 days opentrue age
Posted 10 Nov
Payats field
$150k–250kposted
▲ +34% vs market median $150k
$119k$250k
Market p25–p75
$119k–$157k
Washington DC · n=29 · 365d to 11 Nov
CompanyGRVTY →
206open roles
Opened · 30d
+34
Closed · 30d
−9
11d of snapshots · 30d window
Market
1,661open · Data engineering
Opened · 7d
+18211% of open
All data engineering
3,848open
All tracked boards · live 11 Nov · n=1,661
Visa
1H-1B LCAs · FY26
LCAs FY26 · n=1 · to 2026-06-11
TypeScriptPythonJavaPostgreSQLAWSAirflowSQL

What You'll be Owning

GRVTY is seeking an ETL Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. 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

What You Must Have

  • Active TS/SCI with Polygraph Clearance
  • Bachelor’s degree in Computer Science, Systems Engineering, Geography, or a related technical field (or equivalent experience).
  • Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate.
  • Experience in developing 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.

What Would be Nice to Have

  • 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

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.

We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.

Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Source · GRVTYFirst seen 11 NovOriginal ↗