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# Data Engineer PySpark/Python

- **Company:** Highbrow LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Distributed Computing Environment, Distributed Systems, Apache Hive, Python (Programming Language), Query Optimization, Cloud Services, SQL Databases, Workflow Management Systems, Data Processing, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, AWS Glue, Data Pipelines, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-5AC9DC0DD588961A8D/

## About the Role

We are looking for an experienced Data Engineer with strong PySpark expertise to design, develop, and maintain scalable data processing solutions. The ideal candidate will have extensive experience in big data technologies, distributed computing, ETL/ELT development, and cloud-based data platforms.

The candidate should be comfortable working with large datasets, building efficient data pipelines, optimizing Spark workloads, and collaborating with cross-functional teams to deliver reliable data solutions.
Required Skills & Qualifications

 * 8+ years of experience in Data Engineering or related roles.
 * Strong hands-on experience with Python and PySpark.
 * Extensive experience with Apache Spark, Spark SQL, and distributed data processing.
 * Strong proficiency in SQL, including complex queries, joins, aggregations, and query optimization.
 * Experience developing and maintaining large-scale ETL/ELT data pipelines.
 * Strong understanding of data warehousing concepts, data modeling, and data lake architectures.
 * Experience working with cloud data platforms such as AWS, Azure, or GCP.
 * Experience with technologies such as Databricks, Delta Lake, Hive, or similar big data frameworks.
 * Knowledge of workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
 * Experience with Git, CI/CD pipelines, and Agile development methodologies.
 * Strong analytical, troubleshooting, and problem-solving skills.