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W2 only || Lead Data Engineer || Chandler, AZ / Charlotte, NC / Minneapolis, MN / Irving, TX
Stellent IT LLCChandler, AZ🇺🇸United StatesPosted 13 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Location: Chandler, AZ / Charlotte, NC / Minneapolis, MN / Irving, TX (Hybrid)
Visa requirement- usc/ ead
Duration: 12+ Months (Possible extension)
Required Qualifications- 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 Google Cloud Platform 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.
||
Skills
Docker
Node.js
SQL
AWS
Flink
Airflow
Apache
Azure
BigQuery
Data Pipeline
Git
Google Cloud
Hadoop
Hive
Jenkins
Kafka
Kubernetes
Python
React
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