Senior Data Engineer

🕒 June 3

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 55%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Contribute to the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative. • You will work within a specific data domain — such as Ingestion, Customer Data, Enrichment, or Marketing Signals — ensuring high-quality, reliable data pipelines that power analytics and business-critical workflows. • Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions). • Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures. • Support the design and implementation of data models aligned with business and analytics needs. • Ensure data quality, reliability, and performance across pipelines and datasets. • Collaborate with cross-functional teams to align technical solutions with business requirements. • Apply best practices in data engineering, including modular design, reusability, and governance. • Leverage AI-assisted development tools to improve productivity and code quality. • Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.

🎯 Requirements

• 4+ years of experience in Data Engineering • Experience with AWS ecosystem tools such as Glue, Athena, EMR, S3/Lambda, and infrastructure-as-code tools like CloudFormation, Terraform, or CDK, as well as dbt (Must) • Strong hands-on experience with Python and PySpark (Must) • Hands-on experience in Snowflake-based ETL pipelines (Plus) • Deep understanding of data pipeline architecture and design patterns • Experience implementing and scaling CDC (Change Data Capture) patterns • Strong experience in data modeling for analytics and reporting • Experience leading initiatives or teams in data engineering environments • Familiarity with AI-assisted development tools (Plus) • Solid understanding of data quality, validation frameworks, and governance practices • Strong communication skills, with the ability to work independently and collaborate across technical and business teams

🏖️ Benefits

• 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. • Access to AI learning paths to stay up to date with the latest technologies. • Study plans, courses, and additional certifications tailored to your role. • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. • English lessons to support your professional communication. • 🛫 Travel opportunities to attend industry conferences and meet clients. • 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path. • 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. • Company-provided equipment. • ⚖️ Flexible working options to help you strike the right balance. • Other benefits may vary according to your location in LATAM.

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