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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Eaglecliff Incorporated - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Data Infrastructure, Github, Scrum Methodology, SAP (Applications), SonarQube, SQL Databases, Data Streaming, Data Processing, Pytest, Data Lakes, Data Management, Azure Synapse Analytics, Stream Analytics, Amazon Redshift, Databricks - **Published:** August 28, 2026 - **Apply:** https://computerjobs.com/us/en/mob/job/7A84E51F9A9AFA0338 ## About the Role Mandatory skills: AWS/Azure/SAP - Master ELT - Master Data Modeling - Master Data Integration & Ingestion - Skill Data Manipulation and Processing - Skill GITHUB, Action, Azure DevOps - Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill Optional skills: Experience in project management, running a scrum team. Experience working with BPC, Planning. Exposure to working with external technical ecosystem. MKDocs documentation ## Description Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise in technology domain A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff. Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers. Coordinate the change management process, incident management and problem management process. Present reports and findings to key stakeholders and be the subject matter expert on Data Analysis & Design. Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery. Contributes to community building initiatives like CoE, CoP., Project Initiatives: To leverage trading information flow advantage across RDS to improve decision making and trading bias based on data insights.The project will increase value creation through collaboration, creating new cross commodity trading opportunities (in both Crude and Products). It will provide better investment in analysis capabilities, tools and infrastructure and more rapidly deploy near term value creation for trading desks. Deliverables - Aim to tackle the low hanging fruit, getting things out of Excel, unlocking the power of new visualisation tools, restructuring and cleaning up existing models. - Support better analysis of Refinery maintenance, Crude supply & demand and Gasoline supply and demand amongst others. - Creation of a Data Lake and not a Data Swamp and will improve decision making & trading bias via insights from data - An Asset Capacity & Maintenance deployment will give T&S the summary of planned and unplanned Refinery Maintenance plus Capacity information ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)