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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer 2 (Data Lake & Data Warehouse Solutions) - **Company:** U.S. Bank - **Location:** Englewood, CO, United States - **Experience:** Experienced - **Salary:** $111,095.0 - $130,700.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, IBM InfoSphere DataStage, DevOps, Github, Python (Programming Language), Meta-Data Management, Performance Tuning, Query Optimization, Cloud Services, DataOps, SQL Databases, Data Streaming, Unstructured Data, Data Processing, Google Cloud, Cloud Platform System, GitHub Copilot, System Availability, Apache Spark, Git, Containerization, Data Lakes, Kubernetes, Data Management, GPT, Software Version Control, Data Pipelines, Databricks - **Published:** August 25, 2026 - **Apply:** https://dejobs.org/x/x/43C7F60EB80848A7B8D84789D9A035EF/job/ ## About the Role * Bachelor's degree, or equivalent work experience * Three to five years of relevant experience Preferred Skills/Experience * Strong experience designing and supporting Data Warehouses, Data Lakes, Lakehouse, and modern data architecture , including data integration and large-scale data management solutions. * Advanced proficiency in SQL with hands-on expertise in data modeling, database design, performance tuning, query optimization, and data engineering best practices . * Experience developing or supporting data processing, automation, orchestration, and ETL/ELT solutions using Python . * Hands-on experience with at least one major cloud platform including AWS, Microsoft Azure, or Google Cloud Platform (GCP) and related cloud-native data services. * Experience supporting data platform modernization initiatives , including migration of data warehouses, ETL/ELT processes, and analytics workloads from on-premises environments to cloud-based architectures. * Strong understanding of end-to-end ETL and data integration architecture , including data movement, orchestration, transformation, operational support, and performance optimization across multiple technology platforms. * Experience with modern big data and orchestration frameworks such as Apache Spark, Databricks, Airflow, or similar technologies . * Strong knowledge of DevOps, source control, CI/CD, and version management practices using tools such as Git, GitHub, Azure DevOps, or equivalent platforms . * Understanding of data governance, data quality, metadata management, security, privacy, regulatory compliance , and familiarity with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or similar productivity platforms . ## Description This position will be responsible for the analysis, design, testing, development and maintenance of best-in-class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles., * Design, develop, and maintain enterprise-scale Data Warehouse, Data Lake, and Lakehouse solutions that support operational, analytical, and AI-driven business initiatives. * Build and optimize scalable data models, database architectures, and storage frameworks to enable reporting, analytics, and operational workloads. * Develop, enhance, support, and modernize batch, streaming, and near real-time ETL/ELT pipelines using SQL, Python, and cloud-native technologies, including migration of legacy workloads to modern data platforms. * Integrate and transform structured, semi-structured, and unstructured data from diverse internal and external sources while ensuring data quality, consistency, and reliability. * Implement, support, and modernize enterprise data integration solutions utilizing platforms such as Informatica, IBM DataStage, or comparable ETL tools , including migration of legacy ETL processes to modern data engineering frameworks. * Collaborate with business stakeholders, analysts, architects, and application teams to gather requirements and deliver scalable, high-performance data solutions. * Enable Business Intelligence, Advanced Analytics, and AI/ML initiatives by preparing, optimizing, governing, and delivering trusted datasets across the organization. * Monitor, troubleshoot, automate, and optimize data platforms, pipelines, and cloud environments while providing operational support for critical enterprise data integration processes to ensure high availability, performance, scalability, security, and operational excellence. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [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) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)