What Impact You’ll Have GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities.

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported.

The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.

The work space itself is also quite nice, and there is an excellent cafeteria! ), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning GRVTY is seeking a Data & Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.

Requirements

) Experience working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial Experience using Bash scripting for automation and data processing tasks Experience integrating Al/ML services and models A minimum of 5 years' experience with: Apache Spark & PySpark Advanced Python skills (including Pandas & NumPy) Docker, Podman AWS S3, Lambda & Step functions Apache Iceberg, Airflow, etc.