Data Engineer at Bespoke Technologies

BT-166 – Data EngineerLocation: McLean (fully on-site, no remote option)**MUST HAVE A POLY CLEARANCE TO APPLY. Those who do not have a Poly clearance will not be considered.**Bespoke Technologies is seeking a Data Engineer who will provide highly technical and in-depth data engineering support.Key Must HavesThe candidate MUST have experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems.The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired.Required Skills and Demonstrated ExperienceDemonstrated 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 PythonDemonstrated experience building scalable ETL and ELT workflows for reporting and analytics.Demonstrated experience with general Linux computing and advanced bash scriptingDemonstrated experience with SQL.Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDSDemonstrated experience processing data sources containing structured or unstructured dataDemonstrated experience developing data pipelines with NiFi to bring data into a central environmentDemonstrated experience delivering results to stakeholders through written documentation and oral briefingsDemonstrated experience using code repositories such as GitDemonstrated experience using Elastic and Kibana technologiesDemonstrated experience working with multiple stakeholdersDemonstrated experience documenting such artifacts as code, Python packages and methodologiesDemonstrated experience using Jupyter NotebooksDemonstrated experience with machine learning techniques including natural language processingDemonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formatsDemonstrated experience developing tested, reusable and reproducible workWork 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 analyticsDesired Skills and Demonstrated ExperienceDemonstrated 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 TrinoDemonstrated experience with machine learning algorithmsDemonstrated experience with using container frameworks such as Docker or KubernetesDemonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache SupersetDemonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields