Data Engineer Master

Posted 6 Days Ago
Richardson, TX
In-Office
Expert/Leader
Fintech
The Role
The Data Engineer Master is responsible for designing and implementing data warehouses, maintaining analytical platforms, developing ETL pipelines, and collaborating with teams to enhance data engineering practices.
Summary Generated by Built In

 

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 data engineering 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.
  • Thorough knowledge of various of Line of Business in Banking domain, financial products and services.
  • 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 fit.
  • Design and develop ETL and cloud based data pipeline for enterprise applications.
  • 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.
  • Continuous improvement of data engineering practices to automate manual processes.
  • Partner with PMO team to run the Agile processes.
  • Collaborate with Business stakeholders to enable business outcomes utilizing the state of art of data technology.
  • 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 Data engineering and technology, including data management principles, techniques, procedures, and equipment to the design and implementation of products.
  • Proficient in  SQL, Python, Coalesce/ DBT, Snowflake, AWS Glue, S3 ,Airflow, CI/CD GitHub, DataVault and Dimension modeling, , ETL/ELT pipelines
  • Prior experience with database and model design and segmentation techniques
  • Advanced understanding of SQL, Hands on coding of one or more bigdata programming languages (e.g. 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.
  • 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 MS Office suite and related tools (e.g. 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 echosystem; streaming, batch, data modeling, and storage, analytical solutions.
  • Ability to drive technology updates and implementations across data platforms.
  • Nice to have:
    •  Experience in advanced analytical capabilities such as machine learning, predictive analytics and  artificial intelligence .
    • Experience in various algorithms , models, and frameworks
    • Experience  in implementing machine learning models utilizing modules such as PyTorch, Scikit-learn, Panda, NumPy. TensorFlow.

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. 

Top Skills

Airflow
Aws Glue
Ci/Cd
Coalesce
Datavault
Dbt
Elt
ETL
Git
Numpy
Pandas
Power BI
Python
PyTorch
S3
Scikit-Learn
Snowflake
SQL
TensorFlow
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The Company
HQ: Dallas, TX
2,100 Employees
Year Founded: 1998

What We Do

Our expert bankers are committed to helping your business build and grow. Equipped with experience-based insights and a proven record of implementing custom solutions for clients, we can help you with a suite of business lending, investing and financial management services that see you through every step of the way.

Our client-centric culture thrives because we attract, develop and engage the most experienced and diverse experts in their fields. Over the years, we've developed a supportive culture that values collaboration, rewards performance and respects the well-being of its team members. We know our people are our greatest asset, so we give them the resources and support they need to be successful. Our personal approach has enabled us to deliver exceptional value for our clients for more than two decades — an achievement we’re proud to continue.

Explore a career at Texas Capital Bank: https://www.texascapitalbank.com/who-we-are/careers

Texas Capital Bank is a wholly owned subsidiary of Texas Capital Bancshares, Inc. (NASDAQ®: TCBI). For more information, please visit www.texascapitalbank.com. Member FDIC. NASDAQ®: TCBI. Equal Housing Lender.

Texas Capital Bank and its subsidiaries are equal opportunity employers and do not discriminate on the basis of any protected trait including sex, sexual orientation, gender identity, race, ethnicity, disability, or veteran status. Please view our EEO Policy to learn more: https://www.texascapitalbank.com/equal-employment-opportunity-policy

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