Senior Data Engineer

Job Description

A leading company is seeking a Senior Data Engineer to manage the lifecycle of demo data across all Showcase environments. The ideal candidate will ensure demo stories are fast, relevant, and reliable by grooming datasets, scripting resets, and mocking AI-generated scenarios. This role sits at the intersection of engineering, storytelling, and data science, requiring collaboration with backend engineers, QA, and solutions teams.

Responsibilities include:

• Grooming and maintaining the Showcase data environment using the ModelBank ingestion process and custom scripts.
• Developing data manipulation tools and scripts to support the creation, cleanup, and reset of demo scenarios.
• Leveraging AI/ML models to synthesize demo data and enhance realism in customer journeys.
• Enabling demo teams to trigger dynamic user stories through scripted workflows and scenario generation.
• Working closely with QA and backend engineers to ensure environments are stable, reusable, and scalable.
• Supporting DevOps practices including containerization, CI/CD integration, and cloud environment management.

Requirements:

• 4+ years of experience in data engineering, scripting, or infrastructure-heavy data roles.
• Strong Python skills, including experience with pandas, NumPy, and scripting automation.
• Experience building or using machine learning models for data generation, augmentation, or classification.
• Experience with SQL and NoSQL databases, data transformations, and ETL workflows.
• Proficient in containerization (Docker), cloud platforms (Azure), and CI/CD tooling (e.g., Jenkins, GitHub Actions).
• Comfortable building, resetting, and maintaining clean environments to support frequent demo use.

The role offers:

• Opportunity to work with AI/ML models to synthesize demo data.
• Collaboration with backend engineers, QA, and solutions teams.
• Support DevOps practices including containerization, CI/CD integration, and cloud environment management.