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Data Engineer

Oscar TechnologyGrand Prairie, TX🇺🇸United StatesPosted 10 Aug 2026

Why This Role Stands Out

This hybrid Data Engineer role offers an exciting opportunity to build and scale cloud data pipelines for high-volume manufacturing and IoT data, fostering significant career growth and skill development. You'll thrive here if you have a strong command of SQL, Python, and modern cloud data platforms, making a real impact on innovative data solutions. Apply now to join a dynamic team and contribute to cutting-edge technology.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Grand Prairie, TX, United States
Posted
3 weeks ago
SQLAWSETLSnowflakeAirflowApacheApache SparkAzureData PipelineDatabricksIoTKafkaPython

Job Description



About the Role


We are seeking an experienced Data Engineer to design, build, and maintain scalable cloud data pipelines supporting high-volume manufacturing and IoT data.


The ideal candidate will have strong hands-on experience with SQL and Python, modern cloud data platforms, and Lakehouse/Medallion architectures. This is a hands-on engineering role focused on building reliable data pipelines, processing large datasets, and developing scalable data solutions.


Key Responsibilities



  • Design, develop, and maintain scalable cloud data pipelines for high-volume data.

  • Build batch and real-time data processing solutions using Spark/PySpark, Kafka, and Airflow.

  • Develop data ingestion, transformation, and integration workflows using SQL and Python.

  • Design and implement Lakehouse and Medallion architecture solutions.

  • Work with cloud data platforms including Databricks, Snowflake, AWS, and/or Azure.

  • Build and optimize ETL/ELT pipelines for performance, scalability, and reliability.

  • Process and integrate large volumes of manufacturing, operational, and IoT data.

  • Troubleshoot data pipeline issues and improve data quality and performance.

  • Collaborate with engineering, analytics, and business teams to develop production-ready data solutions.


Qualifications



  • 5+ years of professional Data Engineering experience; additional experience is welcome for the right candidate.

  • Strong proficiency in SQL and Python.

  • Hands-on experience building scalable data pipelines.

  • Experience with Lakehouse and/or Medallion architectures.

  • Experience with Databricks, Snowflake, AWS, and/or Azure.

  • Strong experience with Apache Spark and/or PySpark.

  • Experience with Apache Kafka and/or other streaming technologies.

  • Experience with Apache Airflow or other data orchestration tools.

  • Experience working with Delta Lake or similar data lake technologies.

  • Strong understanding of ETL/ELT, data integration, and data transformation.


Benefits


Full-time employees receive a benefits package, including:



  • Medical, dental, and vision coverage

  • 100% company contribution toward employee medical coverage

  • 80% company contribution toward medical coverage for immediate dependents

  • 15 days of PTO

  • 10 paid holidays, including 8 fixed holidays and 2 floating holidays

  • 401(k) enrollment with employee contributions

  • Relocation assistance



Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

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