3 months ago
Czechia (city not specified)Senior
Responsibilities
- Design, develop, test, deploy, maintain, and improve databases, services, and automated data pipelines.
- Write maintainable code in a professional software engineering environment.
- Define and implement practical, well-architected solutions to customer problems.
- Design and operate production data pipelines using modern workflow orchestration tools.
- Support and maintain current production platforms.
- Analyze and interpret functional requirements and data.
- Collaborate with product, design, and engineering teams to align requirements and surface trade-offs.
- Apply modern software development patterns and practices to facilitate effective architecture and solutions.
Requirements
- 3–5 years of data engineering experience.
- Understanding of software and database development and automated data pipelines.
- Database programming experience with Postgres or a similar database and Python.
- Good understanding of algorithms and data structures.
- Experience with modern application and data development tools.
- Experience with Agile methodologies and modern CI/CD.
- Hands-on experience designing and operating production data pipelines with a workflow orchestration tool such as AWS Step Functions, Apache Airflow, Prefect, Dagster, or Temporal.
- Working knowledge of Go is an advantage.
- Extensive experience in agentic programming is advantageous.
Tech Stack
Categories
Data Engineering
About Enverus
Enverus builds SaaS data and analytics used by energy producers, utilities and financial institutions to plan investments, benchmark operations and manage procurement across oil and gas, power and renewables. Its portfolio includes market intelligence, forecasting, geospatial well data, and business-automation tools sold by subscription and related services. Founded in 1999 as Drillinginfo and headquartered in Austin, it is privately held under Hellman & Friedman ownership following a 2018 acquisition and later rebrand.