Data Engineer

🕒 May 20

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 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

• Build and scale data pipelines and supporting infrastructure on AWS • Develop and implement data transformations, including: Design and configure AWS Glue jobs, Spark transformations, and Python-based ETL pipelines • Write and maintain integration tests to validate data movement across raw → staged zones • Implement data quality frameworks, including: Ensure data reliability, consistency, and performance across pipelines • Collaborate with cross-functional teams to improve data architecture and processes • Leverage AI-assisted development tools to generate boilerplate code (60–70%) and accelerate development cycles

🎯 Requirements

• 3+ years of experience in Data Engineering • Strong experience with AWS ecosystem (Glue, S3, Athena) • Hands-on experience with Python and PySpark • Strong hands-on experience with Snowflake (Plus) • Strong proficiency in SQL • Solid experience in ETL development and data pipeline architecture • Experience implementing data quality frameworks and validation processes • Familiarity with integration testing for data pipelines • Experience using AI code generation tools (Plus)

🏖️ 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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