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Data Engineer

ApTaskGrand Prairie, TX🇺🇸United StatesPosted Sep 14, 2026

Why This Role Stands Out

Advance your career as a Data Engineer with ApTask, offering a competitive $160k annual salary and the flexibility of a hybrid work model. You'll thrive here if you possess strong SQL and Python skills, experience with cloud data architectures, and are eager to build scalable data pipelines for impactful manufacturing and IoT projects. This is an excellent opportunity to grow your expertise in a dynamic technological environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Grand Prairie, TX, United States
Posted
2 weeks ago
SQLAWSSnowflakeAirflowAzureDatabricksIoTKafkaPython

Job Description

Role: Data Engineer
Location: Grand-Prairie, Texas 75050 (Hybrid)
Fulltime

Salary=$160k/Annum

Immediate interview

Must have skills:

  • Minimum 5+ years of experience (No limit for a right candidate)
  • Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

Job Overview:

  • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
  • Strong SQL and Python proficiency with hands-on experience in medallion/ Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

Good to Have:

Manufacturing 8 10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.

Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.

Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.

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