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 ’ 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 . Responsibilities Design and implement scalable, reusable data marts, curated datasets, and feature stores within the Enterprise Data Warehouse (EDW) to support reporting, BI, and AI/ML use cases Refine and develop dashboards and reports in collaboration with other developers and business users, ensuring usability, performance, and data accuracy Develop and maintain sophisticated dashboards and reports using tools like Power BI to enable data-driven decisions Collaborate with business stakeholders to understand data needs and translate them into technical requirements and user stories Deliver clean, scalable, well-documented data models that support self-service analytics and reporting Participate in code reviews and contribute to the continuous improvement of data engineering and analytics practices Support data quality and governance through validation checks, documentation, and collaboration with data governance teams Maintain clear documentation of data models, transformations, and workflows to support transparency and scalability Qualifications 5-7 years of experience in data analytics, data science, data product management, or related roles Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (Master’s preferred) Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake) Proficiency in Python for data transformation, automation, and building analytics workflows Experience with data transformation tools such as dbt or Coalesce, and orchestration tools like Airflow Working knowledge of Power BI or similar tools for dashboard development and data visualization Experience developing and deploying interactive data applications using tools such as Streamlit, Shiny, or Posit Connect is a plus Familiarity with dimensional modeling (e.g., star schema, snowflake schema); knowledge of Data Vault 2.0 is a plus Experience with version control (e.g., Git) and Agile development practices. Strong problem-solving skills and attention to detail Excellent communication skills and ability to work cross-functionally with technical and non-technical teams Curiosity and a continuous learning mindset, with a passion for building high-quality data solutions