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Data Engineer – Full time :: Need locals

Information Technology | Hybrid in Houston, TX | Full Time

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