GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space. GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. We seek mid-level DATA ENGINEER to support a client in Herndon, 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 6 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.
This work requires data engineering to support an extract, transform, and load (ETL) pipeline. This includes creating custom workflows to manage and conflate disparate datasets, analyzing and integrating disparate data with standard ontologies, and supporting a separate data science team in data evaluations. This job requires the applicant to be successful working individually and with a small group.
Required Qualifications:
Python (3+ years)
SQL and relational databases (3+ years)
At least 6 years of combined experience with data engineering tools to include (but not limited to): Apache NiFi, Apache AirFlow, Apache Hive, Power BI
Experience manipulating and managing spatial data in a database (1+ year)
Desired Qualifications:
Experience summarizing data in dashboard tools such as tableau, grafana, or custom built applications
Experience reviewing data in a GUI GIS tool such as ArcGIS, ArcGIS Pro, QGIS, etc
Experience creating cloud implementations of complex data workflows
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.
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