Senior Data Engineer - 26316

Why YOU want this position

At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

We are currently seeking an experienced data engineer to join our team. In this role, you will collaborate closely with other engineers to design efficient, well-architected solutions that deliver the functionality our customers need. The ideal candidate brings strong experience with data pipelines, Python, and SaaS technologies in general. Candidates with extensive experience in agentic programming will stand out. We welcome applicants of all backgrounds and will assess seniority through our interview process. We are looking for someone who is not afraid to work across the stack.

The Team:

You’ll join the Enverus ONE™ team building the next generation of our products — specifically the LifeSaver app, a field safety initiative developed in partnership with industry leaders. LifeSaver is an AI-enabled platform that puts contextual, job-specific safety guidance directly in the hands of field crews at the moment they need it. Built on Enverus ONE™, it combines voice-first access, real-time operational inputs like weather and equipment context, and company-specific safety procedures to support workers in dynamic field environments where conditions, crew configurations, and risks shift constantly. You'll help pioneer a new approach to field safety: moving beyond planning and compliance documentation toward real-time support at the point of work.

Performance Objectives

• Write maintainable code, working in a professional agile software engineering environment (source control, shortened release cycles, continuous integration/deployment, etc.)
• Define and implement elegant, but practical, solutions to customer problems
• Work on hard problems; design, develop, test, deploy, maintain, and improve databases, services, and automated data pipelines
• Challenge all assumptions by asking questions in the spirit of building awesome products
• Facilitate good architecture and solutions based on modern software development patterns and practices
• Support and maintain current production platforms
• Analyze and interpret functional requirements and/or data
• Communicate clearly and proactively with the broader team, including product, design, and other engineering groups, to align on requirements, surface trade-offs early, and keep delivery moving

Competitive Candidate Profile

• 3-5 years of data engineering experience
• An understanding of software and database development and automated data pipelines
• Database programming experience with Postgres (or similar) and Python
• Good understanding of algorithms and data structures
• Experience with modern application/data development tools
• Experience with Agile methodologies
• Experience with modern CI/CD
• Hands-on experience designing and operating production data pipelines with a modern workflow orchestration tool, such as AWS Step Functions, Apache Airflow, Prefect, Dagster, or Temporal
• Working knowledge of Go is an advantage, as parts of our existing codebase are written in it

Our Technology Stack:

Python, Postgres, Snowflake, Databricks, microservices, AWS, Go, Kubernetes, GitHub, Confluence, and Jira.