Lead Data Engineer

🕒 July 24

🇨🇱 Chile – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.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

• Designing, developing, and supporting data solutions that enable reporting, business intelligence, and predictive analytics across the organization. • Modernizing recurring manual reports by converting Excel workbooks, manual data pulls, and repetitive processes into automated data pipelines and scalable BI solutions. • Supporting the team's predictive model production processes, including model scoring, production data preparation, and ensuring reliable operational execution of analytical models. • Collaborating with business and technical stakeholders to deliver scalable data solutions. • Promoting data engineering best practices and driving continuous improvements.

🎯 Requirements

• Strong experience as a Data Engineer, Analytical Data Engineer, Analytics Engineer, BI Developer, Reporting Engineer, or similar role. • Proven track record of designing, automating, and delivering production reporting and analytics solutions. • SQL Server and database expertise. • Strong SQL Server development and database management skills, including writing complex queries, optimizing performance, and supporting production reporting and analytical workloads. • Ability to translate ambiguous business questions into efficient SQL solutions using joins, window functions, CTEs, and sound data modeling principles. • Proficiency in Python for automation, data processing, and analytical workflows. • Experience working with Databricks to develop, maintain, and support production data pipelines and analytics solutions. • Demonstrated experience developing reports and dashboards using Tableau or comparable BI tools. • Ability to design reporting solutions that are actively used by the business and clearly communicate the purpose and value of each report. • Experience taking recurring reporting processes from manual execution to automated production solutions. • Comfortable determining when logic belongs in SQL, Python, or another appropriate technology to build scalable and maintainable data workflows. • Experience supporting predictive model production processes, including model scoring, production data preparation, workflow scheduling, monitoring, troubleshooting, and ensuring reliable operational execution of analytical models. • Ability to interpret an undocumented Excel report, including its filters, joins, date logic, and business rules, and accurately reproduce it. • A disciplined approach to reconciling output against a baseline until every discrepancy is explained. • Ability to elicit requirements and business rules from report owners who understand what they need but not how it is built.

🏖️ 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.