GeoYeti focuses on advanced analytics, data science, development of the applications that support such work.  We seek a mid-level Data Engineer to support a client in McLean, VA.  We support a broad range of IC and DoD clients, though a common theme across our portfolio is that our team members, regardless of their role, interact with the end users around the globe.

GeoYeti offers competitive pay, a sign-on or relo bonus, and amazing benefits, to include up to 10 percent company contribution into your 401k; 100 percent company paid premiums for medical (to include 100 percent of your medical deductible), dental, vision, life, and short- and long-term disabilities; tuition reimbursement; gym stipend; commuter stipend ($10/day after tax); automatic enrollment in the GeoYeti 360 Bonus Program; and many others.

Develop new tools, code & services to execute data engineering activities. Activities include the following tasks:

• 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.
• 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.
• 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/standards. Develop an ETL Code Transition Plan.
• Develop & deliver documentation for each project including ETL mappings, code use guide, code location & access instructions.
  
• Facilitate Code Reviews. Provide consulting services to support data transport, ingestion, conditioning, access, & management.

Required Qualifications:   

• Active TS/SCI clearance with Full Scope poly required to start
• Extract, Transform and Load (ETL) tools and processes.
• Python
• AWS
• SQL
• APIs
• Linux
• Geospatial tools/data

Desired Qualifications:  

• Docker, Jenkins, Hadoop/Spark, Kibana, Kafka, NiFi,
  ElasticSearch

GeoYeti is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.