Olive Jobs
Pearl Street Technologies logo

Staff Data Engineer

Pearl Street Technologies

CzechiaJobNo compensation foundPosted 2w agoVerified open 4 days ago
Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Don't just apply. Show up ready.

Olive works from this exact posting — no sign-up to start.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.Get started →Tailor your résuméRewritten against this posting, with a diff of every change.Get started →Practice the interviewA voice mock interview built from this job description.Get started →

At a glance

Compensation
No compensation found
Location
Czechia
Work Authorization
Not specified

Job overview

RatedPower is hiring a Staff Data Engineer. Enverus seeks a Staff Data Engineer to design, build, and maintain scalable data manufacturing pipelines using Databricks, PySpark, and modern ETL patterns, integrating energy data sources and LLM/GenAI technologies, while collaborating with product, QA, and engineering teams to deliver reliable, production‑grade data assets.

Key focus areas include Contribute as a staff developer on the data engineering team, collaborating to deliver priorities with product management., Build and maintain scalable data manufacturing pipelines using Databricks, PySpark, and modern ETL patterns., and Integrate new energy data sources into existing pipelines and applications, and modernize data manufacturing processes for improved reliability..

Important skills include Databricks, PySpark, ETL Pipeline Development, Unity Catalog, Data Modeling, and Lineage Tracking. Preferred (not required): Integrating LLM, GenAI Technologies, Apache Airflow, and Kubernetes.

Skills & qualifications

RequiredNice to have

Skills

DatabricksPySparkETL Pipeline DevelopmentUnity CatalogData ModelingLineage TrackingSchema ManagementCI/CDDevOps PracticesGitHubAmazon S3AWS IAMAWS LambdaMicrosoft SQL ServerPostgreSQLPythonElasticsearchArcGISIntegrating LLMGenAI TechnologiesApache AirflowKubernetesArgo CDEnergy Domain DataGeoscience Domain Data

Full job description

Description

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. The Team 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

You've read the whole posting — now see how you match it.

Evaluate my fit