Data Engineer: Cloud Pipelines & IoT (Manufacturing)

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

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