Data Engineer (Martech)
Dallas, TX, United States
Triumph Financial
The Investor Relations website contains information about Triumph Financial, Inc.'s business for stockholders, potential investors, and financial analysts.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
If you're a Data Engineer and have exposure to API marketing tools and/or experience in the marketing industry, we would love to meet you!
The Martech Data Engineer will develop and enhance our Martech and AdTech platform. In this role, you will lead the design, prototype, and delivery of technology-driven software products enhancing enterprise data delivery for Marketing purposes. Your responsibilities will include managing large-scale data processes, implementing data ingestion and modeling, and deriving insights to optimize advertising strategies. You will collaborate with multiple engineering teams and cross-functional groups to translate business needs into robust technical solutions and ensure best practices in software development. This position requires a strong background in data and experience in marketing technologies, demonstrating a blend of technical and project management skills.
Essential Duties & Responsibilities
Managing code robustness, reusability, deployment, monitoring, scalability, security, and performance across test, integration, and production environments.
Plan and implement enhancements to application components to boost functionality, resiliency, usability, and security. This includes troubleshooting, root cause analysis, defect analysis from past projects, and preventive measures to avoid recurrence.
Understand and translate business and technical requirements, assisting in the refinement of broader solutions and the creation of simple, modular, and extensible designs for the product/solution.
Define and refine high-level requirements, non-functional requirements, and robust testing strategies to support the development of epics and user stories aligned with business values. Identify technical dependencies across product and application teams to facilitate the implementation of new or enhanced functionalities.
Actively participate in Agile Scrum ceremonies, including sprint planning, retrospectives, showcases/demos, daily stand-ups, and backlog refinement. Create and execute unit tests to validate code changes and ensure alignment with user story implementations.
Collaborate with project managers, stakeholders, and team members to conceptualize, design, test, and release products. This includes creating technical design documents, setting realistic estimates, and promoting best practices, continuous learning, and the adoption of new technologies and methodologies. Engage in knowledge sharing and present technical designs to gain consensus and support strategic initiatives.
Increases proficiency and understanding of relational and non-relational databases, user interfaces and user experience, quality assurance, security concerns, and business value creation.
Engages in continuous learning and knowledge sharing, influencing the adoption of new technologies and methodologies, and presenting technical designs to gain consensus and support strategic initiatives.
Designing and developing low to moderate complexity data integration solution.
Design, building, and maintenance of data pipelines to ingest data from various systems.
Knowledge of Enterprise level implementations like Data warehouse, Automated solutions.
Experience & Education
Bachelor's or Master's Degree in Computer Science, Information Technology , Data Engineering or related technical discipline.
At least 5 years of experience in data engineering, with a focus on AWS cloud, databases, SQL, and Python.
Familiarity with data visualization tools like Tableau or Power BI.
Understanding of machine learning concepts and tools.
Skills & Abilities Required
Proficiency in MarTech tools and integrations, especially Marketo, Braze, Google Ads
Experience in the following areas: payments, factoring, transportation, supply chain.
Computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving, and complexity analysis) experience.
Experience developing software features to streamline and scale streaming and batch jobs for data intensive applications.
Experience in maintaining and improving existing codebases and peer review code changes.
Experience documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
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.
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We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.
Go on. Do it. Apply Today!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Braze Computer Science Data pipelines Data visualization Data warehouse Engineering Machine Learning Marketo Pipelines Power BI Python RDBMS Scrum Security SQL Streaming Tableau Testing
Perks/benefits: 401(k) matching Career development Health care
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