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# W2 only || Lead Data Engineer || Chandler, AZ / Charlotte, NC / Minneapolis, MN / Irving, TX

- **Company:** Stellent IT LLC
- **Location:** Chandler, AZ, United States
- **Experience:** Expert
- **Salary:** $67,900.0 - $101,900.0
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Amazon Web Services, BigQuery, Cloud Database, Cloud Storage, Databases, Data Control, Information Engineering, Data Governance, Data Systems, Data Warehousing, DevOps, Graph Database, Design of User Interfaces, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Node.Js, NoSQL, Cloudera, SQL Databases, Web Applications, Workflow Management Systems, Parquet, Data Processing, Google Cloud, Cloud Platform System, Azure Data Factory, ReactJS, Apache Spark, Git, Pyspark, Kubernetes, Apache Flink, Data Analytics, Real Time Data, Apache Kafka, Spark Streaming, Data Management, Data Lakehouse, Data Pipelines, Docker, Jenkins
- **Published:** August 15, 2026
- **Apply:** https://www.careerjet.com/jobad/us4e404b39ffb7ddf66641ee3baebc1a48

## About the Role

* 5+ years of experience in Data Engineering, including hands-on experience with Hadoop and Google Cloud data solutions.
 * Experience creating and supporting Spark-based data processing and Kafka streaming solutions in a highly collaborative team environment.
 * 2+ years of hands-on experience developing real-time data flows using Kafka, Flink, and Spark Streaming.
 * 3+ years of experience with Data Lakehouse architecture and design.
 * Hands-on experience with Python, PySpark, Apache Kafka, Airflow, SQL, Google Cloud Storage, BigQuery, Dataproc, and Cloud Composer.
 * 2+ years of experience working with NoSQL databases, including columnar databases, graph databases, document databases, key-value stores, and associated data formats.
 * Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics.
 * Proven experience migrating data from on-premises environments to cloud-native platforms.
 * Strong experience with the Hadoop ecosystem, including Hive, HDFS, Parquet, Iceberg, and Delta Tables.
 * Deep understanding of data warehousing, cloud data architecture, data pipeline development, and workflow orchestration.
 * Experience designing and implementing highly scalable and modular data pipelines with built-in data controls to automate data governance.
 * Familiarity with GenAI frameworks such as LangChain and LangGraph for developing agent-based data capabilities.
 * Experience with DevOps and CI/CD deployments using Git, Jenkins, Docker, and Kubernetes.
 * Experience with web-based UI development using React and Node.js is a plus.



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