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Open nowPosted 4 days ago

Internal Audit-Data Strategy & Analytics-Dallas-Associate

Candidate Experience Site - Lateral315 open roles

Where
Dallas, TX, United States
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Your applicationOpen nowInternal Audit-Data Strategy & Analytics-Dallas-AssociateCandidate Experience Site - Lateral · Dallas, TX, United States
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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Candidate Experience Site - Lateral postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 4 days ago

Candidate Experience Site - Lateral median: 6 days open

The posting

Job Description

What You'll Do

  • Design, develop, test, and maintain Python-based applications, services, and automation that power analytical and audit workflows.
  • Build and expose well-documented, secure RESTful APIs (Flask or similar frameworks) that serve data to internal applications and downstream consumers.
  • Develop responsive, intuitive user interfaces using React and JavaScript, translating business requirements and wireframes into production-grade components.
  • Design and refine data models- logical and physical- and write efficient SQL to support reporting, analytics, and application needs.
  • Manage source control, code reviews, and automated build/test/deploy workflows in GitLab, contributing to and improving CI/CD pipelines.
  • Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.
  • Champion engineering quality through unit tests, integration tests, and Test-Driven Development (TDD).
  • Partner closely with product owners, and audit stakeholders in a global, distributed Agile/Scrum setting to deliver iteratively.
  • Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.

Required Qualifications

  • Education: Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline.
  • Overall Experience: 3–5 years of professional software engineer experience.
  • Python: 3-5 years of strong, hands-on Python development experience building production applications and exposure to data analytics tooling (pandas, NumPy).
  • Front-End: 1-2 years of hands-on experience building UIs with React and modern JavaScript.
  • SQL & Data Modelling: Solid SQL skills and a good understanding of data modelling concepts- normalization, relational/dimensional design, schema evolution, and query performance.
  • Version Control & DevOps: Hands-on experience with GitLab and strong grasp of core Git concepts (branching strategies, merge requests, rebasing, conflict resolution) plus practical exposure to CI/CD pipelines.
  • Testing: Demonstrated experience implementing unit tests, integration tests, and applying Test-Driven Development.
  • Ways of Working: Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team.

Preferred / Good to Have

  • Experience designing and developing Flask-based REST APIs (or FastAPI/Django REST Framework).
  • Working knowledge of deploying code to a Kubernetes cluster- building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.
  • Experience with containerization using Docker and automating deployments through CI/CD pipelines.
  • Familiarity with API design best practices- versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.
  • Understanding of cloud platforms such as Snowflake.
  • Prior experience in financial services, risk, or Internal Audit domains.
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