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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Engineering - **Company:** Sapient Corporation - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Systems, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, DevOps, Cloud Platform System, Azure Data Factory, Snowflake, Apache Spark, Infrastructure as Code (IaC), Data Lakes, Information Technology, Deployment Automation, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** September 18, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18349405?backUrl=%2Fcareer%2F18349405%2FManager-Data-Engineering-Texas-Houston ## About the Role * Bachelor s degree in Computer Science, Information Systems, Engineering, or a related technical field. * 8+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related technical roles. * Proven experience designing and delivering enterprise-scale data engineering solutions and cloud-based data platforms. * Strong experience building scalable data pipelines and data integration frameworks. * Experience working with large-scale enterprise data environments and complex business systems. * Strong understanding of data modeling, data architecture, and modern data engineering practices. * Excellent communication, collaboration, and stakeholder management skills., * Experience in Energy, Utilities, Oil & Gas, Commodity Trading, Financial Services, or other highly data-intensive industries. * Hands-on experience with: + Databricks + Azure Data Factory + Azure Synapse Analytics + Snowflake + Apache Spark + Delta Lake * Experience supporting Data Product, Data Mesh, or modern data platform initiatives. * Experience with CI/CD pipelines, DevOps practices, Infrastructure as Code (IaC), and automated deployment frameworks. * Experience integrating large-scale trading, market, operational, and financial systems. * Experience working within Agile delivery organizations and cross-functional engineering teams. ## Description As a Manager, Data Engineering, you will play a central role in designing and building the data foundation that powers enterprise analytics, operational reporting, and future AI-driven capabilities. Working across Trading, Finance, Operations, and Technology teams, you ll help deliver scalable solutions that connect complex business systems, improve data accessibility, and drive better business outcomes. This is an opportunity to work on large-scale data engineering challenges, modern cloud technologies, and high-value business initiatives while helping shape the future of the organization s data platform. ## 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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)