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# Data Engineer

- **Company:** Oscar Technology
- **Location:** Grand Prairie, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Python (Programming Language), Cloud Services, SQL Databases, Data Ingestion, Snowflake, Apache Spark, IT Architecture, Data Lakes, Pyspark, Integration Frameworks, Apache Kafka, Data Management, Video Streaming, Stream Processing, Data Pipelines, Databricks
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/758d1a19-dd59-4a62-8340-5ac148848ad8

## About the Role

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., * 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.

## Description

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


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