Data Engineer – Data Pipeline Fulltime role needs locals

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