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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering - **Company:** Charles Schwab Inc. - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, JIRA, Cloud Storage, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Retention, Data Security, Data Visualization, Data Warehousing, Programming Tools, Github, Information Lifecycle Management, Python (Programming Language), Project Management Software, Meta-Data Management, Operational Data Store, Power BI, SQL Databases, SQL Server Integration Services, Tableau (Software), Informatica Powercenter, Information Technology, Data Analytics, Star Schema, Data Management, Tools for Reporting, Software Version Control, Data Pipelines, Programming Languages, Control M - **Published:** June 14, 2026 - **Apply:** https://www.juju.com/job/00000000g863mt ## About the Role + Expertise in ETL/ELT development,SQL, anddataengineering bestquality practicesincluding data quality,testing, monitoring, andexception handling. + Strong understanding of data pipelines, data mart design, and common engineering patterns. + Strong understanding of data warehouse concepts, including star schema, fact and dimension modeling, table grain, slowly changing dimensions, and operational data stores. + Experience with Google Cloudtechnologies, includingBigQueryand Cloud Storage. + Business analysis experience to translate business requirements into data mappings, metric logic, and data definitions, and toperform data analysis. + Minimum of 3 years of hands-on data engineering experience. + Solid understanding of the data lifecycle, metadata management, and governance standards. + Ability to recommend practical data retention and history strategies that balance analytical value with reporting performance. + Strong cross-functional collaboration skills with leadership, colleagues, and stakeholders. + Strong communication and stakeholder management skills across technical and non-technical audiences. + Willingness to learn new skills and adapt to evolving technologies to meet future business needs. + Proficiency with development tools including version control (for example, GitHub), project management software (for example, JIRA), and orchestration tools (for example, Control-M, SQL Server Integration Services, Informatica, or similar). + Bachelor's or master'sdegree in computer science, information technology, or a related field, or equivalent practical experience. Preferred Competencies: + 5+ years of experience with reporting and data visualization tools (Power BI, Tableau) + 5+ years of experience with data management tools and coding languages (Python) + 3+ years of experience in the financial services industry and/or a B2B environment + Experience leveraging AIindevelopmentlifecycle, and enabling AI-ready data environments ## Description This individual will be a part of the Offer Development, Delivery and Analytics department within Advisor Services. Specific to the analytics function, the department delivers data-driven insights and enables accountability through the tracking and reporting of key metrics. What** **you will** **do: Success in this role means delivering reliable, scalable data solutions that enable timely decision-making, while proactively improving data quality, platform performance, and engineering practices. The Manager, Data Engineering is an individual contributor role. This role supports the creation, maintenance, and operational support of business-unit data assets, data mart solutions, reporting, and analytics that enable business leaders to make decisions and drive continuous process improvement. The role works across business and technical teams to define requirements, metric logic, and data definitions; develop and troubleshoot ETL/ELT logic using SQL and team tooling; complete testing; and provide ongoing maintenance and operational support for code, workflows, and utilities, including job monitoring, issue resolution, and user support. We're looking for a **hands-on data engineer** with strong **technical and business acumen** who performs well in a structured, fast-paced environment and is passionate about building high-quality, high-performance, and scalable solutions. This role is well suited for someone who is motivated to learn and understand corporate systems, reinforce engineering best practices, streamline existing processes, and contribute to a future-state data platform that improves client-centricity, speed to market, scale, and efficiency. The ideal candidate is comfortable creating structure, working through ambiguity, and adapting to change. Responsibilities include: Data Engineering & Architecture + Build and maintain data mart solutions that support reporting and analytics use cases. + Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.Develop and troubleshoot ETL/ELT logic using SQL and team tooling. + Designand builddimensional data models, including facts and dimensions, determine appropriate table grain, and implement slowly changing dimensions where historical tracking is required. + Defineandimplementpractical data retention and history strategies that preserve analytical value without overloading downstream reporting tools. Data Quality, Reliability & Operations + Implement and maintain data quality controls, reconciliation checks, testing, and monitoring to ensure data accuracy, consistency, and reliability. + Support production reliability through job monitoring, issue resolution, root-cause analysis, operational support, and documentation. + Create and maintain production support and deployment artifacts. Collaboration & Delivery + Collaboratewith business stakeholders and technical teams totranslate business needsintoscalabletechnicalsolutions,includingmetric logic, and data definitions. + Work closely with development partners, product owners, and team members to design features, decompose stories, and prioritizedelivery. + Share technical knowledge and support team success through collaboration, documentation, and guidance. Leadership & Influence + Provide technical leadership for data pipeline development andengineering practices. + Navigate cross-functional communication effectively to maintain alignment across teams. + Use data-driven reasoningto constructively challenge decisions, align on outcomes, and execute once direction is set. Risk, Governance, & Continuous Improvement + Identify technology risks and dependencies early and help establish mitigation plans. + Implement data security, governance, and metadatamanagement practices to protect sensitive information. + Contribute to a culture of open feedback, accountability, and continuous improvement. ## 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) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [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 Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)