Senior Data Engineer

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people’s success — today and tomorrow.  

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment — investing the time and resources to understand our clients’ immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships. 

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO). 

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News’ Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate’s 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com. 

Responsibilities:

• Practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and implementation of data warehouse and advanced analytical applications.
•  Responsible for enhancing and maintaining TC’s data warehouse and analytical platforms.
• Proficiency in advanced analytical capabilities (machine learning, predictive modeling, artificial intelligence).
• Proficiency in various algorithms, models, and frameworks. 
• Leverage debugging and testing processes and protocols to finalize code.
• Perform new feature exploration of each solution to determine feature-fit for strategic and tactical program activities.
• Design and develop machine learning algorithms and deep learning applications and systems
• Train, retrain, and monitor machine learning systems and models as needed
• Address planned and unplanned production issues, coordination, maintenance, communication and business support.
• Document and implement change control and best practices with regards to system maintenance, configuration, development, testing, and data integrity.
• Perform operations tasks such as monitoring application performance.
• Collaborate with other members of the engineering team to design new features.
• Identify areas for process and efficiency improvement.
• Perpetual improvement of data engineering practices to automate for manual processes.
• Partner with PMO team to run the Agile processes.
• Lead the craftsmanship, availability, resilience, and scalability of your solutions.
• Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community.
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity.

Qualifications

• Minimum 8 years of relevant experience in an appropriate technology domain.
• Bachelor's degree in Computer Science, Engineering, Information Systems or Technology, or related field.
• Advanced knowledge of the practical application of engineering science and technology, including data management principles, techniques, procedures, and equipment to the design and implementation of products.
• Strong proficiency in languages like Python or R. 
• Experience in implementing machine learning models utilizing modules such as PyTorch, Scikit-learn, Panda, NumPy. TensorFlow.
• Prior experience with database and model design and segmentation techniques
• Advanced understanding of SQL, Hands on coding of one or more bigdata programming language (SCALA Python, etc.).
• Advanced knowledge and understanding of diverse data platforms, operating systems, cloud solutions, current and emerging technologies.
• Advanced knowledge of data governance practices.
• Subject Matter Expertise (SME) on three or more platforms in appropriate technology domain
• Ability to obtain, analyze and synthesize information from multiple sources.
• Ability to provide guidance and solution design principles to all engineers.
• Ability to utilize industry standard project management, work management, and reporting software.
•  Analytical mindset, focused on results with critical thinking, research and problem-solving, and decision-making skills.
• Proficiency in organization and time management skills with proven track record of meeting various deadlines.
•  Proficiency in written and verbal presentation skills alongside strong data interpretation and visualization skills.
• Proficiency in the use of broader MS Office suite (Outlook, Teams, Word, PowerPoint, Excel, Project, Visio, SQL Server Management Studio, SSIS, SSRS, Visual Studio, Power BI).
• Knowledge of architecture and development of modern data echo system; streaming, batch, data modeling, and storage, analytical solutions.
• Ability to drive technology updates and implementations across data platforms.
• Ability to provide end-to-end solutions for LOBs.

The duties listed above are the essential functions, or fundamental duties within the job classification.  The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.