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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Engineering - **Company:** TD Ameritrade - **Location:** Southlake, TX, United States - **Experience:** Expert - **Salary:** $142,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Development, DevOps, Github, Python (Programming Language), Performance Tuning, Shell Script, Software Engineering, Strategies of Testing, Enterprise Data Management, Enterprise Software Applications, Real Time Systems, Data Ingestion, Gitlab, Deployment Automation, Enterprise Integration, Bitbucket, Data Management, Software Version Control, Workday, Atlassian Bamboo, Control M - **Published:** August 6, 2026 - **Apply:** https://www.schwabjobs.com/financial-consultant-academy-opportunity-branch-network ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. * 10+ years of experience in Data Engineering, Data Warehousing, ETL Development, or related disciplines. * Experience leading large-scale data engineering initiatives, technical teams, or complex enterprise programs. * 5+ years of experience designing and implementing enterprise data integration solutions using Informatica IDMC/IICS or similar ETL technologies. * Experience with Google Cloud Platform (GCP), including services such as BigQuery, Google Cloud Storage (GCS), and Dataproc. * Define and implement data warehouse, data modeling, ETL, load plans, and performance tuning strategies to ensure solutions meet functional and non-functional requirements. Leverage deep expertise in Data Warehousing, Data Modeling, SQL, and GCP technologies to deliver scalable and reliable platforms. * Advanced experience developing scalable data ingestion, transformation, and integration solutions supporting batch, near real-time, and real-time processing patterns. * Demonstrated expertise in Data Warehousing, Data Modeling, ETL Architecture, and SQL Development. * Strong programming and scripting experience utilizing Python, Shell Scripting, and related automation technologies. * Experience designing and optimizing high-performance data platforms through performance tuning, workload optimization, and scalable architecture practices. * Experience partnering with business stakeholders, business analysts, architects, and cross-functional technology teams to deliver business-focused data solutions. * Proven experience developing technical specifications, testing strategies, operational documentation, and governance controls for enterprise data platforms. * Working knowledge of Agile delivery methodologies, DevOps practices, CI/CD pipelines, and modern software engineering principles. * Experience utilizing source control and deployment tools such as GitHub, GitLab, Bitbucket, Bamboo, Control-M, or comparable technologies. * Strong analytical, problem-solving, and decision-making skills with the ability to lead complex technical initiatives from concept through delivery. * Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders., * Experience within financial services, banking, brokerage, wealth management, or other highly regulated industries. * Experience supporting enterprise applications such as Workday, CAT, O2, SPO, or similar business-critical platforms. * Experience leading distributed, offshore, and vendor-supported engineering teams. * Demonstrated ability to drive technology modernization, process improvement, and data platform transformation initiatives. * Experience fostering engineering best practices, mentoring teams, and building high-performing technical organizations. * Strong background in strategic planning, prioritization, and execution across multiple concurrent initiatives. * Experience influencing architectural standards, governance frameworks, and enterprise data strategies. * Proven ability to navigate ambiguity, adapt to changing business priorities, and drive successful outcomes in complex environments. ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [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) - [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) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [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) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [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) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [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)