Data Engineer

Job Requirements McLean, VA Top Secret/SCI Full Scope Polygraph Career Level not specified Salary not specified Join Premium to unlock estimated salaries Job Description What Impact You'll Have 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. What You'll Be Owning 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. What You Must Have Active TS/SCI with Polygraph Clearance Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. Demonstrated experience with data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources. Demonstrated work experience programming with Python Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics. 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 processing data sources containing structured or unstructured data Demonstrated experience developing data pipelines with NiFi to bring data into a central environment Demonstrated experience delivering results to stakeholders through written documentation and oral briefings Demonstrated experience using code repositories such as Git Demonstrated experience using Elastic and Kibana technologies Demonstrated experience working with multiple stakeholders Demonstrated experience documenting such artifacts as code, Python packages and methodologies Demonstrated experience using Jupyter Notebooks Demonstrated experience with machine learning techniques including natural language processing Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Demonstrated experience developing tested, reusable and reproducible work 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 What Would Be Nice to Have 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 group id: 10406245 Apply now