DevOps Engineer (Environmental Scientist or Engineer)

Responsibilities

• Identify technology needs, promote solutions, and drive adoption with relevant staff.
• Support the administration and implementation of DevOps 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.
• Contribute to reusable solutions that support data analysis, modeling, visualization, and related scientific computing needs.
• Automated infrastructure to interpret environmental data using statistical, coding, and visualization tools, including R and Python.
• Collaborate with software developers, environmental scientists, and regulatory specialists to streamline digital workflows and reduce technical silos.
• Oversee the reliability and performance of large-scale data sets and model predictions used for high-volume environmental monitoring and scientific analysis.
• Integrate automated security best practices into pipelines to protect sensitive environmental data and ensure adherence to industry standards and government regulations.

Requirements

• 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 NumPy, Pandas, Matplotlib, or Tidyverse
• Experience with modern software development and cloud computing environments, including platforms such as AWS, Azure, Google Cloud, and GitHub, 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, or other shared computational resources
• Strong critical thinking, sound technical judgment, and effective written and verbal communication skills
• Experience with ArcGIS or related geospatial tools a plus

Qualifications

• Experience in developing and deploying DevOps tools and infrastructure
• Knowledge of cloud computing platforms like AWS, Azure, and Google Cloud
• Experience with version control systems such as Git
• Understanding of data management and data warehousing principles
• Experience with data visualization tools such as Tableau or PowerBI
• Experience with data modeling and database design
• Experience with data security and compliance protocols

Skills

• Technical writing skills
• Statistical analysis and modeling
• Data visualization
• Software development and cloud computing
• Version control and reproducible workflows
• Data automation and pipeline management
• Collaboration and teamwork
• Communication and presentation skills

Benefits

• Competitive compensation
• Healthcare benefits
• Paid holidays and vacation time
• Retirement plan with employer match
• Annual bonus opportunities

Pay

$73,500 - $95,000 annual salary range

Schedule

Regular Full-time Position