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Full Time Onsite role for Data Engineer in Grand-Prairie, Texas

• Posted 2 days ago • Updated 1 day ago

Full Time

Fitment

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Job Details

Skills

SQL
Pyhton

Summary

Role: Data Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews Virtual

Tentative start date ASAP

Note: Relocation assistance will be provided by Client.

As part of our commitment to our employees, Client provides a robust benefits package for full-time employees, which includes:

Medical Coverage, Dental and Vision (100% Client contribution for the employee, 80% contribution for immediate dependents).
15 days of Paid Time Off (PTO).
10 paid holidays (including 8 fixed holidays and 2 floating holidays).
401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91126533
Position Id: 2026-18575
Posted 2 days ago

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