> Markdown version of [/jobs/ext/3702607-data-engineer](https://www.wearedevelopers.com/jobs/ext/3702607-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** TechniPros, LLC - **Location:** Phoenix, AZ, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Data as a Services, Extract Transform Load (ETL), Python (Programming Language), Cloud Services, Standard Sql, Enterprise Data Management, Snowflake, Git, Event Driven Architecture, Pyspark, AWS Glue, AWS Data Analytics, Apache Kafka, Restful APIs, Data Pipelines, Amazon Elastic Mapreduce (EMR), Docker - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/6df73841-a19f-433e-b749-0ca2297d5747 ## About the Role · AWS Glue · Amazon EMR · Redshift · Athena · S3 · Python · PySpark · SQL · Kafka · Apache Airflow · Docker · Git Preferred Skills: · Snowflake · dbt, · AWS Glue · EMR · Redshift · PySpark · SQL · Kafka · Airflow · S3 · ETL · Python ## Description We are seeking an AWS Data Engineer with expertise in big data processing, cloud-native data engineering, and streaming architectures. The ideal candidate should possess strong experience building enterprise data platforms using AWS analytics services., · Develop scalable AWS data pipelines. · Build ETL jobs using AWS Glue. · Develop PySpark applications on EMR. · Design Redshift data warehouse solutions. · Develop streaming pipelines using Kafka. · Build data orchestration workflows using Airflow. · Optimize cloud data processing. · Develop REST APIs for data services. · Implement data quality monitoring.