Staff Data Engineer - 26267
About this role
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.
Our Data Engineering team builds and maintains the pipelines that manufacture and deliver energy-related data powering Enverus's customer-facing applications. We sit at the intersection of data infrastructure and domain expertise, transforming raw energy and geoscience data into reliable, production-grade assets that our customers depend on every day.
We are looking for a Staff Data Engineer who combines strong hands-on engineering with the ability to collaborate across engineering, QA, and product management teams.
You will join a collaborative, fast-moving team of data engineers who own the full lifecycle of data manufacturing — from ingestion through transformation and delivery. We move quickly and hold a high bar for code quality and system design. Engineers here work on meaningful problems across cloud infrastructure, pipeline architecture, and AI integration.
Performance Objectives
Contribute as a staff developer on the data engineering team, collaborating to deliver on priorities developed in conjunction with the product management group.
Build and maintain scalable data manufacturing pipelines using Databricks, PySpark, and modern ETL patterns.
Integrate new energy data sources into existing pipelines and applications, and modernize data manufacturing processes for improved reliability.
Drive the integration of LLM and GenAI technologies into data extraction and transformation workflows.
Competitive Candidate Profile
Proficiency with ETL pipeline development using Databricks/Unity Catalog and PySpark.
Experience with data modeling, lineage tracking, and schema management.
Familiarity with CI/CD and DevOps practices for data pipelines using GitHub.
Hands-on experience with cloud technologies including AWS S3, IAM, and Lambda.
Experience with relational databases such as SQL Server or PostgreSQL.
Skills that stand out
Experience integrating LLM or GenAI technologies into data workflows.
Familiarity with Airflow for pipeline orchestration.
Knowledge of Kubernetes or ArgoCD for infrastructure and deployment automation.
Background in energy or geoscience domain data.
Our Technology Stack
Databricks, Unity Catalog, PySpark, Python, AWS S3, AWS IAM, AWS Lambda, SQL Server, PostgreSQL, GitHub, Airflow, ElasticSearch, ArcGIS, Kubernetes, ArgoCD
Company at a glance
Enverus is a single source platform for management, development and acquisition, within the entire energy value chain. From early-stage investment to full-scale development, we provide the actionable intelligence, in-depth analysis and speed to support your changing energy strategy.
This is what we call Intelligent Connections: empowering your company to discover previously unseen insights and opportunities, act fast, and deliver extraordinary outcomes.
A Technology Partner for the Future
Enverus is the most trusted knowledge and analytics platform in the energy industry, with real-time access to analytics, insights, benchmark costs, revenue data and more.
More than 300 financial institutions and more than 5,000 energy companies rely on our analytics, intelligence, and technology to make capital investment decisions and increase investor ROI.
Our platform is built both by, and for, our industry. Our source is our own connections — with direct access to more than 98% of U.S. producers, and more than 35,000 suppliers, we inform more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing.
What We Provide
Our platform provides a centralized, single-source of truth, with energy analytics informed by more than 20 years of market intelligence and machine-learning.
For personal, customizable support, our highly experienced, sizable analyst team provides thought leadership, consulting and tech innovation.
Our goal is to build a long-term relationship with you, addressing your challenges today, while providing the tools for you to thrive tomorrow.
Our customers regularly report major production increases, substantial savings on labor costs, impressive savings and EUR improvements.
We provide a complete scope of the entire energy industry, including oil and gas, financial institutions, power, utilities and renewables. But we also illuminate their connections, and where they’re going.
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