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
Flexible work from home options available.