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Blend360

Lead Data Engineer

Blend360

Data Engineer Lead responsible for designing and developing data solutions at Blend. Focusing on automated data pipelines and predictive analytics support for business intelligence.

Posted 7/24/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and automating data pipelines and analytics solutions, with strong expertise in SQL Server, Python, and data visualization tools like Tableau. Capable of translating business requirements into efficient data workflows and ensuring data quality and reliability in production environments.

Highest-signal resume keywords
Data EngineeringSQL Server DevelopmentPython AutomationDatabricks Pipeline DevelopmentTableau Reporting

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData ModelingPerformance OptimizationPredictive AnalyticsAutomated ReportingData Quality MonitoringComplex Query WritingWorkflow SchedulingTroubleshootingData Preparation
Soft Skills
CollaborationCommunicationProblem-SolvingRequirements ElicitationContinuous Improvement
Tools & Technologies
SQL ServerDatabricksTableauExcel
Industry Keywords
Analytics SolutionsData PipelinesBusiness IntelligenceAutomated WorkflowsData Engineering Best Practices

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.
  • 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.
  • Ability to elicit requirements and business rules from report owners who understand what they need but not how it is built.

Benefits

Comp & perks
  • 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.