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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\u002FSCI + Polygraph clearance (acceptable to this customer).\n\u003C\u002Fp>\n\u003Cp>\n    \u003Cstrong>\n        What You’ll Be Owning\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cp>\n    GRVTY is seeking a Data Engineer with a TS\u002FSCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.\n\u003C\u002Fp>\n\u003Cp>\n    Responsibilities\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Develop new tools, code & services to execute data engineering activities. Activities include the following tasks:\n    \u003C\u002Fli>\n    \u003Cli>\n        Movement of structure & unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. View data in its source format.\n    \u003C\u002Fli>\n    \u003Cli>\n        Develop code to format data that supports exploration. Analyze source data formats & work with Data Scientists & partners to determine the formats & transforms that best meet mission objectives.\n    \u003C\u002Fli>\n    \u003Cli>\n        Develop code and tools to provide one-time & on-going data formatting & transformations into enterprise or boutique data models. Implement existing ETL code & best practices\u002Fstandards.\n    \u003C\u002Fli>\n    \u003Cli>\n        Develop an ETL Code Transition Plan. Develop & deliver documentation for each project including ETL mappings, code use guide, code location & access instructions.\n    \u003C\u002Fli>\n    \u003Cli>\n        Facilitate Code Reviews. Provide consulting services to support data transport, ingestion, conditioning, access, & management.\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What You Must Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Active TS\u002FSCI with Polygraph Clearance\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability and willingness to quickly learn a new tool\n    \u003C\u002Fli>\n    \u003Cli>\n        Strong communication skills with both your teammates, and your leads\n    \u003C\u002Fli>\n    \u003Cli>\n        SQL, Python, Pyspark experience.\n    \u003C\u002Fli>\n    \u003Cli>\n        Willingness to do development type work when needed (junior level development at best)\n    \u003C\u002Fli>\n    \u003Cli>\n        Ability to be a self starter and ask questions when needed\n    \u003C\u002Fli>\n    \u003Cli>\n        Comfortable working with and manipulating data in compliance with the offices workflow\n    \u003C\u002Fli>\n    \u003Cli>\n        Extract, Transform and Load (ETL) tools and processes.\n    \u003C\u002Fli>\n    \u003Cli>\n        AWS\n    \u003C\u002Fli>\n    \u003Cli>\n        APIs\n    \u003C\u002Fli>\n    \u003Cli>\n        Linux\n    \u003C\u002Fli>\n    \u003Cli>\n        Geospatial tools\u002Fdata\n    \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\n    \u003Cstrong>\n        What Would Be Nice to Have\n    \u003C\u002Fstrong>\n\u003C\u002Fp>\n\u003Cul>\n    \u003Cli>\n        Palantir Foundry Experience\n    \u003C\u002Fli>\n    \u003Cli>\n        Kubeflow\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with OCR and text extraction of PDFs.\n    \u003C\u002Fli>\n    \u003Cli>\n        Experience with data validation \u002F data quality after ETLing to be sure it’s ready for end users\n    \u003C\u002Fli>\n    \u003Cli>\n        Docker\n    \u003C\u002Fli>\n    \u003Cli>\n        Jenkins\n    \u003C\u002Fli>\n    \u003Cli>\n        Hadoop\u002FSpark\n    \u003C\u002Fli>\n    \u003Cli>\n        Kibana\n    \u003C\u002Fli>\n    \u003Cli>\n        Kafka\n    \u003C\u002Fli>\n    \u003Cli>\n        NiFi\n    \u003C\u002Fli>\n    \u003Cli>\n        ElasticSearch\n    \u003C\u002Fli>\n\u003C\u002Ful>\n",1779819365913]