Data Engineer

Tekaccel Inc.; Town of Texas (WI); On-site; USD 120,000 - 150,000; Full time

Job summary

Tekaccel Inc. is hiring a Data Engineer to design and build scalable cloud data pipelines for high-volume manufacturing and IoT data. Location: Grand-Prairie, Texas.

Schedule: 4 days onsite (Mon-Thu). You will work with Spark, Kafka, Airflow and Delta Lake, applying strong SQL and Python skills and hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS or Azure. This full-time role focuses on delivering reliable data platforms that enable advanced analytics and

Qualifications

• Minimum 5+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Hands-on experience with medallion/Lakehouse architectures on Databricks, Snowflake, AWS or Azure.

Responsibilities

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

Skills

5+ years experience

SQL and Python

Databricks

Snowflake

AWS

Azure

Tools

Databricks

Snowflake

AWS

Azure

Job description

Data Engineer

Location: Grand-Prairie, Texas

4 days Onsite-Mon-Thu

Duration: Full time

Must Have Skills

• Minimum 5+ years of experience


• 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 in 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.