Strategic Staffing Solutions
Senior Data Engineer - Big Data & Cloud
Strategic Staffing Solutions, Chandler, Arizona, United States, 85249
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 PowerBI 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 PowerBI 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.
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 PowerBI 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 PowerBI 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.