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Senior Data Engineer - Big Data & Cloud

Job in Chandler, Maricopa County, Arizona, 85249, USA
Listing for: Strategic Staffing Solutions
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 54 USD Hourly USD 54.00 HOUR
Job Description & How to Apply Below

Job Title

Senior Data Engineer - Big Data & Cloud

Location

Chandler, AZ (Hybrid - 3 days onsite)

Duration

24-month contract

Pay

$54/hr W2 ONLY, NO C2C

Overview

We are seeking a proactive and highly skilled Senior Data Engineer to join our team as part of a pilot program. This role is focused on building robust, scalable data pipelines using a modern big data tech stack, ensuring efficient data modeling, transformation, and integration. The ideal candidate will be self-driven, accountable, and able to troubleshoot complex data engineering challenges without waiting for direction.

Responsibilities
  • Design, model, and build data pipelines using Hadoop, Hive, PySpark, and Python.
  • Integrate and manage data within Amazon AWS S3, including security and data service integration.
  • Design and implement database models (MySQL or similar relational databases).
  • Develop and maintain job schedules using Autosys.
  • Build data visualizations and reporting dashboards using Power

    BI and Dremio.
  • Write and optimize Unix/Shell scripts.
  • Support CI/CD pipeline development and deployment processes.
  • Troubleshoot and resolve data pipeline and transformation issues.
  • Collaborate cross-functionally to ensure data solutions align with business needs.
  • Apply automation and optimization to data processes for improved efficiency.
Required Qualifications
  • Minimum 4 years of hands‑on experience in data engineering.
  • Strong expertise in big data tools (Hadoop, Hive, PySpark, Python).
  • Solid understanding of AWS S3 object storage, security, and integrations.
  • Proficiency in database design and data modeling.
  • Proven experience with Autosys job scheduling.
  • Experience with data visualization tools such as Power

    BI and Dremio.
  • Proficiency in Unix/Shell scripting and CI/CD pipelines.
  • Strong problem‑solving skills and ability to work independently with minimal supervision.
Preferred Qualifications
  • Exposure to Google Cloud Platform (GCP) data engineering.
  • Financial services industry experience or domain knowledge.
What We’re Looking For
  • A self-starter who proactively identifies problems and drives solutions.
  • A team player who is accountable for deliverables and timelines.
  • Strong communicator capable of explaining technical concepts to technical and non‑technical audiences.
  • Someone who thrives in a fast‑paced, evolving environment.
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Position Requirements
10+ Years work experience
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