Data Engineer

BT-270 – Data Engineer
Location: McLean, VA (fully on-site, no remote option)

 

• 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              

• 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