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

Chandler, AZ, US • Posted 6 hours ago • Updated 5 hours ago
Contract W2
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Data Engineering
  • Data Processing
  • Real-time
  • Data Flow
  • Apache Flink
  • Apache Spark
  • Streaming
  • Python
  • PySpark
  • Apache Kafka
  • SQL
  • Storage
  • NoSQL
  • Graph Databases
  • Database
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure
  • Amazon Web Services
  • Data Analysis
  • Migration
  • Apache Hadoop
  • Apache Hive
  • HDFS
  • Apache Parquet
  • Data Warehouse
  • Cloud Computing
  • Data Architecture
  • Extract
  • Transform
  • Load
  • Workflow
  • Orchestration
  • Data Governance
  • Generative Artificial Intelligence (AI)
  • LangChain
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Git
  • Jenkins
  • Docker
  • Kubernetes
  • UI
  • React.js
  • Node.js

Summary


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.

||

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-50520
  • Posted 6 hours ago
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