DevOps Engineer; EnvironmentalScientist or Engineer

Title

Dev Ops Engineer (Environmental Scientist or Engineer)

Bellingham, WA or other AQ office

Regular Full‑time

Anchor QEA is seeking a full‑time Dev Ops Engineer with a background in environmental science or environmental engineering. The role is expected to be fully in‑office or hybrid at any Anchor QEA office, with a preference for Bellingham, WA. The applicant will have 3‑7 years of experience as a Dev Ops Engineer with a background in the environmental sciences to build automated infrastructure and tools to support the evaluation of large‑scale environmental data sets and complex scientific environmental models.

The ideal candidate is motivated to develop internal and project‑related applications; has a strong interest in our company vision of being an inclusive, sustainable, and growing environmental innovator making generational impacts; and demonstrates effective collaboration with clear written and verbal communication. This role will also support internal initiatives to improve data workflows, develop reusable tools, and enhance the reliability and usability of technical resources across projects.

• Identify technology needs, promote solutions, and drive adoption with relevant staff.
• Support the administration and implementation of Dev Ops platforms used to support computational work in the sciences and engineering teams.
• Support the development and improvement of internal software, data resources, and technical workflows by contributing to the design, maintenance, and documentation of tools, processes, and code libraries.
• Help improve the reliability, usability, and consistency of technical resources used across projects and internal initiatives.
• Contribute to reusable solutions that support data analysis, modeling, visualization, and related scientific computing needs.
• Support the automated infrastructure to interpret environmental data using statistical, coding, and visualization tools, including R and Python.
• Collaborative support to the development and application of environmental models, including optimization of I/O, improving the efficiency of mathematical model simulations, and supporting the development of methods to present results and communicate findings to technical and nontechnical audiences.
• Data systems operations: overseeing the reliability and performance of large‑scale data sets and model predictions used for high‑volume environmental monitoring and scientific analysis.
• Cross‑functional collaboration between software developers, environmental scientists, and regulatory specialists to streamline digital workflows and reduce technical silos.
• Security & compliance: integrating automated security best practices into pipelines to protect sensitive environmental data and ensure adherence to industry standards and government regulations.

• Bachelor's or Master's degree in environmental science, environmental or civil engineering, computer science, chemistry, mathematics, or a related field;
  Master's degree preferred.
• 3 to 7 years of relevant professional experience.
• Proficiency in one or more scientific computing languages, preferably Python or R, and experience with related libraries such as Num Py, Pandas, Matplotlib, or tidyverse.
• Experience with modern software development and cloud computing environments, including platforms such as AWS, Azure, Google Cloud, and Git Hub, as well as Linux/UNIX systems and containerized workflows.
• Familiarity with software development and technical computing practices such as version control, reproducible workflows, artefact storage and reporting, API integration, data automation, collaborative development, and related concepts.
• Experience in applying statistical analysis and environmental modeling methods, particularly for contaminant fate and transport in aquatic systems.
• Exposure to in‑water and upland remediation projects, including environmental sampling, data analysis, and feasibility studies; contaminated sediment experience preferred.
• Strong technical writing skills for planning documents, data summaries, and regulatory reports.
• Experience supporting or improving technical tools, workflows,…