Environmental GIS Analyst
1 month ago
The Tepa Companies are wholly owned subsidiaries of the Paskenta Band of Nomlaki Indians. They deliver comprehensive and sustainable solutions to federal, state, local and private-sector clients throughout the United States. The tribally owned companies work independently and collaboratively to provide wide-ranging construction, engineering, environmental, industrial, staffing and technology services. Established in 2005, the Tepa Companies employ people in offices across the United States, including California, Colorado, Florida, Georgia, Missouri, and Texas.
When you join Tepa Companies, you have the opportunity to expand your entrepreneurial skill set while growing professionally alongside the best in the industry. You will have the opportunity to impact your team, the organization as a whole and subsequently, our Tribe.
We seek out top talent to provide the best services for our clients. We focus on being a responsible company for our employees and their families by creating a culture that reflects our core values and offering competitive pay and benefits packages. Tepa Companies is an equal opportunity employer and encourages diversity in the workforce.
LOCATION - Hybrid or Remote
ABOUT THE JOB
Tepa Companies is seeking a Environmental GIS Analyst to will work alongside Senior Scientists, Project Managers, and Technical Experts on various activities in support of diverse environmental assessment and data management projects. As an Environmental GIS Analyst, you will provide GIS support for environmental investigation and restoration projects for per- and polyfluoroalkyl substances (PFAS) and other emerging contaminants, environmental geospatial analysis, environmental data management in relational databases, data reporting, python programming, manage project web-map dashboards, provide technical review and apply quality assurance and quality control checks, data analysis and programmatic data queries, and the development and execution of automated production workflows.
Essential Job Functions
- Provide geospatial analysis supporting hydrogeologic investigations, including conceptual site models, PFAS groundwater contaminant migration pathway analysis, and drinking water receptor studies.
- Supports PFAS environmental data management processes, including data acquisition, data tracking, data evaluation and technical analysis, quality assurance review, data gap analysis, and complex data reporting.
- Utilize Python or other programming language for high-level data tools supporting large environmental databases.
- Supports project web-map dashboards with data management, query, reporting, and geo-visualization tools.
- Develop technical GIS figures displaying PFAS investigation results and site characterization.
- Conduct research, data mining, and analysis from disparate data sources, evaluate, and incorporate into environmental databases.
- Develop technical fact sheets, briefings, and programmatic status reports.
- Review PFAS investigation reports for assessing geospatial and technical data accuracy.
- Developing visual, graphical, and tabular summaries of environmental data and trend analysis.
- Develop and modify automated data and visualization production workflows.
- Bachelor's degree in Geographic Information Sciences (GIS), Environmental Sciences, Data Analytics, or related field
- Minimum of 3 years of experience working as an environmental GIS professional with programming and database management experience.
- Minimum of 3 years of professional experience with federal/state environmental regulatory programs, Air Force Environmental Restoration Program and remediation activities, CERCLA, and/or RCRA.
- Preferred experience with PFAS environmental investigations, including environmental GIS datasets and data management.
- Demonstrated GIS experience in ESRI ArcPro with environmental investigations and environmental analytical data
- Experience working for federal clients including Department of Defense
- Experience compiling, analyzing, and reporting on environmental data from a variety of sources including investigation reports, field observation, environmental sampling results, tabular data, databases, and other existing reports and figures
- Programming experience utilizing Python or other script language
- Experience utilizing SQL or other relational database software
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