Senior Cloud Data Engineer – Pipelines & Data Lakes

Kforce Inc

Phoenix (AZ)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Kforce has a client in Phoenix, AZ seeking a Data Engineer to join their team. The role focuses on designing, developing, and optimizing enterprise data solutions, advancing modern data engineering, analytics, and cloud-based platforms.

You will build scalable data pipelines, data lakes, and data warehouses while collaborating with cross-functional teams to deliver high-quality data solutions. Ideal candidates will have 5+ years in data ingestion, integration, and transformation, with

Qualifications

Bachelor's degree in a technical field (CS/IS/Engineering) required.
Minimum 5 years of experience in data ingestion, extraction, integration and transformation.
Experience with cloud-based data platforms and scalable data pipelines.
Proficiency in SQL and Python.

Responsibilities

Design, develop, and maintain data pipelines ingesting diverse sources.
Build cloud-based data lakes and platforms emphasizing scalability, performance, and reliability.
Develop data engineering and analytics solutions using modern cloud technologies.
Design, develop, and support enterprise data warehouses and dimensional data models.
Collaborate with stakeholders to translate business needs into technical solutions.
Participate in data architecture discussions, system design, and Agile planning.
Contribute to Medallion Architecture (Bronze/Silver/Gold) initiatives.
Develop data models and maintain associated documentation.
Review data models with technical and business teams for quality and governance.