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AI Republic

AI Republic

www.airepublictalent.com

1 Job

15 Employees

About the Company

Hiring elite talent for AI innovation is getting harder and harder: Demand now far exceeds supply for AI & Data talent with proven experience igniting a war for talent Massive increases in resume fraud and fake candidates are increasing the risk of bad hires Pressure to reduce spend on professional services can compromise quality of resources Return-to-office mandates are shrinking available talent pools AI Republic’s talent solutions are designed to overcome these key challenges and eliminate the risks faced by businesses who need to hire top-tier AI & data talent at speed. With industry solutions for startups, enterprise businesses and consultancies, we help solve challenges like competing for elite talent, scaling teams quickly, access to skills on-demand, and reducing spend on professional services – delivering enterprise quality and scale with start-up agility. Since 2022, over 2,500 businesses have been using AI Republic to hire key talent to power their AI innovations: AI & ML experts with an 0>1 track record in high-growth or complex environments Data talent for faster enterprise AI transformation Software engineers with experience building AI agentic applications Why choose AI Republic? Recruit proven talent from our community, a rich eco-system of engaged AI & data experts Outpace the competition for elite AI, data and engineering talent Reduce the risk of resume fraud and fake candidates with our AI-powered, human-led vetting Reduce spend on professional services with access to high-quality local, nearshore and offshore resources at low-cost Contact us today to unlock the talent you need for AI innovation www.airepublictalent.com

Listed Jobs

Company background Company brand
Company Name
AI Republic
Job Title
Data Engineers - Contract
Job Description
**Job Title**: Data Engineer (Contract) **Role Summary** Senior data engineer contractor building the data backbone for a large AI transformation project. Responsible for designing, developing, and operating scalable data pipelines that feed enterprise AI models. **Expectations** - Activate immediately in a complex, fast‑moving environment (start Dec/Jan). - Contract only: 1099 or Corp‑to‑Corp (C2C). - Deliver full value on Day 1; no W2 applicants or agency intermediaries. **Key Responsibilities** - Design, code, deploy, and maintain ETL/ELT pipelines using Python, SQL, and PySpark. - Build and manage cloud data platforms on AWS, Azure, or GCP (Databricks, Snowflake, BigQuery, Redshift). - Orchestrate workflows with Airflow, integrate streaming via Kafka, and transform data using DBT. - Implement CI/CD pipelines for continuous delivery of data solutions. - Prepare and curate large‑scale datasets for machine‑learning/model training. - Monitor performance, troubleshoot issues, and optimize pipeline efficiency. - Collaborate with data scientists and business stakeholders to define data requirements and deliver insights. - Document architecture, data models, and best practices for cross‑team use. **Required Skills** - Proficiency in Python, SQL, and PySpark. - Deep experience with cloud data ecosystems (AWS, Azure, or GCP). - Hands‑on expertise with Databricks, Snowflake, BigQuery, and Redshift. - Strong knowledge of Airflow, Kafka, DBT, and CI/CD concepts. - Data modeling, ETL/ELT design, and performance tuning. - Familiarity with AI/ML data preparation at scale. - Excellent analytical, troubleshooting, and communication abilities. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field (preferred). - Valid certifications in cloud data engineering or related platforms (AWS Data Analytics, Azure Data Engineer, GCP Data Engineering, Databricks Certified, Snowflake Certified, etc.) are preferred but not mandatory.
United states
Remote
10-12-2025