Data Engineer

QTech; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

QTech in Dallas, TX is seeking a Data Engineer to design and build scalable cloud data pipelines for high-volume manufacturing and IoT data, using Spark, Kafka, Airflow, and Delta Lake. The role requires strong SQL and Python and hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure, and a proven ability to work in a cloud-first environment.

This long-term, full-time position offers collaboration with OT/IT integration and performance improvements

Qualifications

• 5+ years of data engineering experience.
• Strong SQL and Python skills with lakeshouse architectures on Databricks/Snowflake/AWS/Azure.
• Hands-on cloud data pipelines using Spark, Kafka, Airflow.

Responsibilities

• Build scalable cloud data pipelines for high-volume manufacturing and IoT data.
• Implement medallion/Lakehouse architectures on cloud platforms.

Skills

5+ years experience

SQL

Python

Tools

Databricks

Snowflake

AWS

Azure

Spark

Kafka

Airflow

Delta Lake

Job description

Job Role: Data Engineer

Location: Dallas, TX

Duration: Long Term project

Full Time Position

Job Description

Data Engineer 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.

Required Skills

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

Preferred Skills

• 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.

Best Regards,
Tarun K
Phone: [phone]
Email: [e-mail]