Newfold Digital

DataEngineer|Pipelines,APIs&AIDataSystems

Argentina FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer | Pipelines, APIs & AI Data Systems at Newfold Digital. Skills: Data pipelines, API integrations, Python, AI data. Design data pipeline architectures. Build ingestion frameworks”

What You'll Achieve.

Enable data accessibility; Enable data reuse

What They're Looking For.

Must Have

Python for data engineering, Designing data pipelines, API integrations, SQL skills, Data warehousing concepts, Cloud-based data platforms, Data modeling, Pipeline optimization

Nice to Have

Embedding pipelines, Vector database integrations

What You'll Do.

Design data pipeline architectures

Build ingestion frameworks

Develop Python workflows

Integrate data from sources

Implement data models

Contribute to AI infrastructure

Follow best practices

How You'll Work.

Team & Collaboration

Collaborate with analytics teams; Collaborate with BI teams; Collaborate with AI teams

Full Job Description

**Who Are We.** Newfold Digital is a leading web technology company serving nearly seven million customers globally. Established in 2021 through the combination of leading web services providers Endurance Web Presence and Web.com Group, our portfolio of brands includes: Bluehost, BigRock, ResellerClub, CrazyDomains, HostGator, Network Solutions, Register.com, Web.com and many others. We help customers of all sizes build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with our customers to serve their online presence needs. We are looking for a Data Engineer to design and build scalable data pipelines and modern data ingestion frameworks. This role will focus on API-based ingestion, event-driven architectures, and emerging AI data capabilities such as embeddings and vector databases to support next-generation analytics and AI use cases. **Job Description** * Design and develop scalable data pipeline architectures for batch and real-time processing * Build and maintain API-based ingestion frameworks and event-driven data streams * Develop robust Python-based data processing workflows * Integrate data from multiple sources * Implement and optimize data models and transformations for downstream consumption * Contribute to building AI-ready data infrastructure, including: * Embedding pipelines * Vector database integrations * Collaborate with analytics, BI, and AI teams to enable data accessibility and reuse * Ensure data quality, monitoring, and reliability across pipelines * Follow best practices for performance, scalability, and governance **Additional Job Description** * Strong experience with Python for data engineering * Hands-on experience designing data pipelines (batch and/or streaming) * Experience with API integrations and ingestion frameworks * Strong SQL skills and understanding of data warehousing concepts * Experience with cloud-based data platforms (OCI, AWS, or GCP) *

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