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Senior Data Engineer

Join TriumphX!

TriumphX, a member of the Triumph Financial portfolio of brands, provides a concentration of technology and project management resources the members of the Triumph Financial portfolio of brands – TriumphPay, Triumph and TBK Bank – via a shared service model. We’re looking for top tech and project management talent to analyze, recommend and build strategic solutions that support Triumph Financial’s mission to become a world-class, market-leading financial and technology company.

Position Summary

We are a fast-growing FinTech company that seeks a highly skilled Senior Data Engineer to join our dedicated team. This is an excellent opportunity to play a significant role in building Triumph's data lake and platforms which will impact our expanding universe of products and services. As part of our Data & Analytics team, you will be responsible for designing and implementing our organization's data pipelines. You will work closely with other teams within technology and business to ensure that we have a best in class foundation for a data driven future.

The Senior Data Engineer should be a hands-on expert in architecting and building the data and analytics pipelines and related processes. This role requires strong interpersonal skills due to close interactions with business and technology stakeholders at all levels with varying technical backgrounds in a fast-paced work environment.

A Day in the Life

  • Design, build and implement reliable, resilient and modular data pipelines across the data ecosystem.

  • Work with data architects to design the enterprise data lake and data warehouse and associated data models.

  • Establish best practices and processes for ETL/ELT, including tools, CI/CD and DevOps.

  • Troubleshoot and help support data & analytics pipelines.

  • Help with the development of data products to monetize data assets throughout the organization.

  • Work with system administrator to help monitor and manage consumption costs, identify and address performance bottlenecks.

  • Help implement security and governance best practices for data ecosystem.

  • Maintain documentation for data flows, design patterns, processes, and best practices.

  • Mentor and develop analysts, data engineers and others as required.

Experience & Education

The successful candidate will possess subject matter expertise, technical experience and skills, leadership skills, analytical and critical thinking skills, and attention to detail.  Additionally, the ideal candidate should possess the following:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

  • 5-7 years experience as a data engineer, with specific expertise in Snowflake and dbt required.

  • Expertise in designing and building complex data pipelines and workflows from various sources into data lake / data warehouse, including batch and streaming pipelines.

  • Knowledge of transactional and analytical data modeling techniques.

  • Experience working with various modern data stack tools like Matillion, Fivetran, dbt, Airflow, Dagster, etc.

  • Extensive knowledge of data warehouse design concepts, ETL/ELT processes as well as BI tools.

  • Extensive experience with SQL and relational databases, data profiling and quality.

  • Python or similar programming skills, scripting experience.

  • Certification in Snowflake preferred.

  • Familiarity with AWS services and infrastructure preferred.

  • Experience working within Agile software development methodology.

  • Experience building release management protocols.

  • Ability to generate and maintain technical documentation is required.

Skills & Abilities Required

  • Strong problem-solving and communication skills.

  • Ability to work effectively in a cross-functional team.

  • Self-motivated with the ability to work individually or in a team

  • Ability to leverage tools to perform day-to-day administration tasks, root-cause analysis and service restoration (such as backup, restore, failover, log interpretation, and performance monitoring)

  • Ability to multitask and manages work effectively by prioritizing own assignments, schedules, and meetings resulting in timely completion of work.

  • High degree of personal integrity.

  • The applicant should be eager to learn and obtain technical certification.

  • Must be able to receive and follow instructions given by management.

  • Must have the ability develop solutions to unique problems.

Work Environment

The work environment characteristics described here maybe encountered while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Must be physically capable to stoop, bend, lift up to 20 lbs to place technology supplies and computers and related equipment onto racks, desks, counters and into cabinets and onto storage shelves, etc.

  • Moderate noise (i.e. business office with computers, phone, and printers, light traffic).

  • Ability to work in a confined area.

  • Ability to sit at a computer terminal for an extended period of time. Occasional stooping or kneeling may be necessary.

  • While performing the duties of this job, the employee is regularly required to stand, sit, talk, hear and use hands and fingers to operate a computer keyboard and telephone.

  • Specific vision abilities are required by this job due to computer work.

  • Regular, predictable attendance is required.

Triumph Business Capital, Triumph Bancorp, Inc. and its subsidiaries reserve the right to modify this job description at any time, with or without notice. This job description in no way implies that these are the only duties, to be performed by the employee occupying this position. This job description is not an employment contract, implied or otherwise.

Equal Employment Opportunity Statement: Triumph Business Capital and Triumph Bancorp, Inc. and its subsidiaries, provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, or status as a covered veteran in accordance with applicable federal, state and local laws.

We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.

Go on.  Do it.  Apply Today!
 

Average salary estimate

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$100000K
$130000K

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What You Should Know About Senior Data Engineer, Triumph Financial

Join TriumphX as a Senior Data Engineer in the vibrant city of Dallas, Texas! TriumphX is part of the Triumph Financial portfolio, passionately dedicated to leveraging technology and project management resources across its family of brands. In this exciting role, you’ll take a leading part in building and enhancing Triumph's data lake and various platforms that will shape our expanding offerings. As a Senior Data Engineer, you’ll design and implement innovative data pipelines, collaborating closely with cross-functional teams to lay down a top-notch foundation for Triumph Financial's data-driven future. Your hands-on expertise in architecting and constructing data and analytics pipelines will be crucial. You'll work on best practices for ETL/ELT processes, trouble-shoot analytics pipelines, and support the development of data products aimed at monetizing data assets. Your role will also include mentoring fellow analysts and data engineers, ensuring that the team thrives. With 5-7 years’ experience, especially with Snowflake and dbt, and a knack for handling complex data workflows, you will be perfectly positioned to make a significant impact at TriumphX. Get ready to make data matter and drive our mission forward—this is your chance to shine in a company that values innovation and growth. Join us and be a part of something great!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Triumph Financial
What are the main responsibilities of the Senior Data Engineer at TriumphX?

The Senior Data Engineer at TriumphX plays a pivotal role in designing and implementing robust data pipelines, enhancing the data ecosystem, and working closely with cross-functional teams to support business goals. Responsibilities include building and maintaining the data lake, establishing ETL/ELT best practices, and troubleshooting analytics pipelines to ensure streamlined data processes.

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What qualifications are necessary to be a Senior Data Engineer at TriumphX?

To become a Senior Data Engineer at TriumphX, candidates should possess a Bachelor’s degree in Computer Science, Information Technology, or a related field, along with 5-7 years of relevant experience. Expertise in Snowflake, dbt, and a strong understanding of building complex data pipelines is crucial, along with proficiency in SQL and familiarity with modern data stack tools.

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What experience is preferred for the Senior Data Engineer position at TriumphX?

The ideal candidate for the Senior Data Engineer position at TriumphX is expected to have extensive experience in architecting data solutions, specifically with tools like Matillion, Fivetran, and Airflow. Experience working with AWS services and demonstrating an analytical mindset is also highly valued.

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How does TriumphX support its data-focused initiatives through its culture?

At TriumphX, a culture of collaboration and continuous learning underpins our dedication to data initiatives. The company fosters an environment where the Senior Data Engineer can mentor others and actively contribute to building a data-driven strategy, all while working in a fast-paced, supportive team atmosphere.

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What does the work environment look like for a Senior Data Engineer at TriumphX?

The work environment at TriumphX for the Senior Data Engineer is dynamic and collaborative, located in Dallas, Texas. It includes a business office atmosphere with modern amenities and equipment, promoting both individual contributions and team collaborations, while ensuring accessibility and support for all employees.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with building data pipelines?

When answering this question, highlight specific projects where you designed and implemented data pipelines. Discuss the tools used, the challenges faced, and the impact your work had on the organization, reflecting how this experience aligns with the needs of TriumphX.

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What ETL/ELT tools are you most familiar with?

Mention your experience with various ETL/ELT tools like Snowflake, dbt, or Matillion. Provide examples of how you utilized these tools in past projects to streamline data processes, ensuring to highlight your understanding of best practices and how they can be applied at TriumphX.

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How do you approach data quality and profiling?

Discuss your methods for ensuring data quality, such as profiling data during ingestion and ongoing monitoring for inconsistencies. Illustrate your proactive measures, including developing documentation and processes that adhere to governance standards, reflecting your attention to detail.

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What strategies do you use for troubleshooting data pipelines?

Talk about specific troubleshooting strategies you've implemented, such as logging, monitoring metrics, and root-cause analysis. Providing a success story can demonstrate your systematic approach, which is essential for the Senior Data Engineer role at TriumphX.

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How do you prioritize tasks in a fast-paced environment?

Share your approach to prioritizing tasks, especially in Agile frameworks. Describe how you balance competing demands effectively, utilize project management tools, and communicate with stakeholders about timelines and potential obstacles.

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Can you explain your experience with data modeling techniques?

Make sure to discuss various data modeling techniques you've employed, such as transactional and analytical models. Provide examples of how your modeling has supported business needs and enhanced reporting capabilities, specifically in a financial context.

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What programming languages are you proficient in and how have you applied them?

Mention your proficiency in languages like Python. Discuss how you've used programming for automation, building scripts for data transformation, or optimizing data retrieval processes, showcasing your technical versatility relevant to TriumphX.

Join Rise to see the full answer
What is your experience with developing data products?

Share your experience in developing data products that generate business value. Discuss the process of identifying data assets, conceptualizing product ideas, and the eventual outcomes of these initiatives, demonstrating a clear understanding of data monetization.

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How do you ensure security and governance best practices in data management?

Explain your approach to implementing security and governance practices, covering aspects like access control, data encryption, and compliance measures. Share your experience in establishing documentation and processes that comply with best practices in the industry.

Join Rise to see the full answer
What role do you believe data plays in FinTech companies like TriumphX?

Express your insight into the critical role of data in driving business decisions, enhancing customer experiences, and fueling innovation in FinTech. Share how your background aligns with this vision and the potential impactful strategies you could bring to TriumphX.

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Triumph Financial is a financial and technology company focused on payments, factoring and banking. Through our brands —TriumphPay and Triumph – we use technology and innovation to reduce friction in cash flow management and increase the speed o...

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DATE POSTED
April 4, 2025

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