Enterprise Cloud Data Engineer Lead (Contract-to-Hire)

Paradigm Technology; South Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

Paradigm seeks a Data Engineer for a 6-month contract-to-hire opportunity in South Carolina. You will architect and deliver cloud-native data platforms and pipelines, mentor junior staff, and collaborate with executives to translate business requirements into scalable data products powering analytics and ML workflows.

Responsibilities include leading migrations to cloud warehouses, enforcing design standards, and ensuring data governance, privacy, and reliability while driving performance

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related discipline.
• 2-3+ years of Data Engineering experience (ETL/ELT, cloud warehousing, analytics).
• Strong background in cloud data architecture, governance, performance optimization, and leadership communication.

Responsibilities

• Architect and develop enterprise-scale cloud data pipelines and warehousing solutions.
• Lead migration initiatives from legacy platforms to cloud-native data warehouses.
• Define and enforce ETL/ELT design standards, coding practices, and security controls.
• Build modular, reusable data components for analytics, reporting, and ML feature pipelines.
• Optimizes pipeline performance and establishes SLAs/monitoring.
• Provide technical leadership and mentor junior engineers; document frameworks.

Skills

Python

SQL

Databricks

Informatica

Cloud platforms

Education

Bachelor’s degree in CS/Engineering or related

Master’s degree preferred

Tools

Databricks

Informatica

Azure/AWS/GCP

Job description

Paradigm seeks a Data Engineer for a 6-month contract-to-hire opportunity in South Carolina. You will architect and deliver cloud-native data platforms and pipelines, mentor junior staff, and collaborate with executives to translate business requirements into scalable data products powering analytics and ML workflows.

Responsibilities include leading migrations to cloud warehouses, enforcing design standards, and ensuring data governance, privacy, and reliability while driving performance