Data Engineer

GRVTY•McLean, VA

8h•Onsite

About The Position

GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

Requirements

Active TS/SCI with Polygraph Clearance
Demonstrated experience with data engineering
Demonstrated experience with data management and integration
Demonstrated work experience programming with Python
Demonstrated experience with general Linux computing and advanced bash scripting
Demonstrated experience with SQL
Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS
Demonstrated experience using code repositories such as Git
Demonstrated experience using Elastic and Kibana technologies
Demonstrated experience working with multiple stakeholders
Demonstrated experience using Jupyter Notebooks
Demonstrated experience with machine learning techniques including natural language processing
Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics

Nice To Haves

Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture
Demonstrated experience using big data processing tools such as Apache Spark or Trino
Demonstrated experience with machine learning algorithms
Demonstrated experience with using container frameworks such as Docker or Kubernetes
Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset
Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields

Responsibilities

Designing and building data infrastructure
Developing data pipelines
Transforming/preparing data
Ensuring data quality and security
Monitoring/optimizing systems
Designing and operating robust data layers for application development across local and cloud or web data sources
Building scalable ETL and ELT workflows for reporting and analytics
Processing data sources containing structured or unstructured data
Developing data pipelines with NiFi to bring data into a central environment
Delivering results to stakeholders through written documentation and oral briefings
Documenting artifacts such as code, Python packages and methodologies
Explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
Developing tested, reusable and reproducible work