[Hiring] Data Engineer Lead @Blend360

Role Description

The Data Engineer Lead is responsible for designing, developing, and supporting data solutions that enable reporting, business intelligence, and predictive analytics across the organization. The role includes modernizing recurring manual reports by converting Excel workbooks, manual data pulls, and repetitive processes into automated data pipelines and scalable BI solutions. In addition, the role is responsible for supporting the team's predictive model production processes, including model scoring, production data preparation, and ensuring reliable operational execution of analytical models.

• Design, develop, and maintain automated data pipelines and analytics solutions.
• Automate manual reporting processes and repetitive data workflows.
• Optimize SQL queries, data models, and processing performance.
• Support production data preparation and model scoring for predictive analytics.
• Monitor data quality, troubleshoot pipeline issues, and improve reliability.
• Collaborate with business and technical stakeholders to deliver scalable data solutions.
• Promote data engineering best practices and drive continuous improvements.

Qualifications

• Strong experience as a Data Engineer, Analytical Data Engineer, Analytics Engineer, BI Developer, Reporting Engineer, or similar role, with a 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.
• Proficiency in Python for automation, data processing, and analytical workflows.
• Demonstrated experience developing reports and dashboards using Tableau or comparable BI tools.
• Experience taking recurring reporting processes from manual execution to automated production solutions.
• 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.
• Ability to elicit requirements and business rules from report owners who understand what they need but not how it is built.

Requirements

• Deep Tableau experience (strong report design in Power BI, Looker, or similar accepted).
• SQL Server or other Microsoft data platforms.
• Dimensional modeling, including reporting marts, conformed dimensions, and shared fact tables.
• Experience modernizing a portfolio of legacy Excel reports.
• Experience supporting predictive model production or machine learning operations in a production environment.
• Experience in hospitality, vacation ownership, or operational reporting.

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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.