Job Description

Note : This is a full-time role with Minimal Travel required so need locals only, cannot sponsor visa, USC or GC holders can apply
Role : Data Engineer - Data Pipeline
Location : Houston or Austin, TX | Minimal Travel
Role Overview
We are seeking a Software Development Engineer - Data Pipeline to design and build advanced data and machine learning pipelines that support real-time systems, analytics, and AI-driven applications. This role combines full-stack development, data engineering, and applied data science.
Key Responsibilities
* Design and implement advanced data engineering and data science pipelines using platforms such as Azure and Databricks
* Manage routine DataOps and MLOps operations
* Develop and maintain real-time tools that support data-driven decision making
* Apply mathematical and statistical knowledge to ensure data quality, model performance, and insight generation
* Translate complex technical concepts into clear, actionable insights for non-technical stakeholders
* Research and adopt emerging trends in data engineering, AI, and machine learning
* Collaborate across engineering, finance, and operations teams
Requirements
Education
* Bachelor's or Master's degree in Computer Science
Experience
* Required: 2+ years of full-stack software development
* Preferred: 2+ years in data engineering, machine learning, and Excel/VBA automation

Technical Skills
* Cloud platforms: Azure, Databricks
* Big data tools: Spark, Hadoop
* Programming: Python, PySpark, Visual Basic
* Data profiling, quality analysis, and statistical methods
* Experience with DevOps, DataOps, and MLOps practices
* Frontend and backend development skills preferred

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