Specialist - Data Engineering

Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Duties: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Design, develop, and implement new data ingestion workflows by practical application of existing and new data engineering techniques. Develop data ingestion workflows across wide variety of data sources and data ingestion patterns such as batch, near real-time, and real time. Lead small projects and perform enhancements for successful delivery. Work with business analysts to understand business, new data requirements, and use cases. Craft and update ETL specifications and supporting documentation. Work with technical directors, data modelers, and cross-functional teams to ensure an accurate and efficient implementation of requirements and following standards. Define and execute quality assurance and test scripts. Review ETL delivery from 3rd party vendor teams, and advocate for agile practices to increase delivery efficiency. Ensure consistency with published development, coding, and testing standards. Train NERDs in understanding functionality/tools and technologies. Position allows for 100% remote work. Reports to company HQs in Westlake, TX. Subject to Schwab’s internal approach to workplace flexibility. Salary: $136,774.93 - $140,400.00 What you have Job Requirements: Bachelor’s Degree in Computer Science, Engineering (any), or a related field and 36 months of experience in a related occupation. Experience must include the following: Develop and implement data ingestion workflows using Informatica, Informatica Intelligent Cloud services (IICS), and Talend. Develop and implement code and procedures for data ingestion and perform data analysis, performance tuning, and debugging using Teradata, GCP, BigQuery, and Google cloud storage; Develop Shell scripts in Unix to automate tasks for data ingestion, data analysis, and debugging. Develop and implement code and scripts to transform raw data into meaningful information using Python, Java, and Scala. Perform CI/CD using Bamboo and Bitbucket tools. Perform batch monitoring to ensure data availability in the DWH using Control M. What’s in it for you At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance

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