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Virtasant

Senior Data Engineer

Virtasant

. Own complex technical projects with minimal direction .

Posted 11/4/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and implementing scalable data pipelines and models, with a strong focus on performance tuning and automation. Proficient in mentoring engineers and driving technical initiatives aligned with business objectives.

Highest-signal resume keywords
Snowflake Performance TuningELT Pipeline Development Using dbtData Workflow Orchestration With Apache AirflowData Visualization In Sigma, Tableau, Or Power BIDimensional Modeling And Data Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DesignData ModelingPerformance TuningAutomation IdentificationTechnical Project OwnershipCode ReviewRisk IdentificationProcess ImprovementAnalytics Engineering Best PracticesAI/ML Data Foundations
Soft Skills
MentoringTechnical GuidanceProactive Problem Solving
Tools & Technologies
SnowflakeDbtApache AirflowSigmaTableauPower BI
Industry Keywords
Data EngineeringData SolutionsData PipelinesData VisualizationAnalytics Engineering

Tech Stack

Tools & technologies
AirflowApacheSnowflakeTableau

About the role

Key responsibilities & impact
  • Own complex technical projects with minimal direction
  • Design scalable, maintainable, and well-documented data pipelines and models
  • Build scalable, reliable data solutions aligned with broader business objectives
  • Make architectural decisions and improve existing processes
  • Identify opportunities for automation
  • Drive technical initiatives from design through production
  • Mentor other engineers through code reviews and technical guidance
  • Proactively identify risks, performance improvements, and opportunities to modernize the data platform

Requirements

What you’ll need
  • Must be located in Latin America or Eastern Europe
  • Must work US East Coast office hours (9 am–6 pm; 8 hours a day)
  • At least 5 years of relevant experience, ideally 7 or more
  • Robust experience with Snowflake, including performance tuning and modern Snowflake capabilities
  • Solid experience building and maintaining ELT pipelines using dbt
  • Experience orchestrating data workflows using Apache Airflow or a similar orchestration platform
  • Comfort creating reports and data visualizations in Sigma, Tableau, or Power BI
  • Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices
  • Nice-to-have: experience designing and preparing scalable, high-quality data foundations for AI/ML applications using Snowflake Cortex AI

Benefits

Comp & perks
  • Totally remote, full-time (40h/week)
  • Payment in USD, biweekly or monthly - your choice
  • Independent contractor agreement with an initial four-month duration, with the option to extend to a full year or longer based on performance and continued need