Remote Data Engineer: AI-Ready Analytics Pipelines

Talentify; Dallas (TX); Remote; USD 83,000 - 92,000; Full time

Job summary

Aston Carter is seeking a Data Engineer for a fully remote role in the United States. You will design, build, and optimize data pipelines, models, and calculations to enable robust reporting, analytics, and AI-ready data infrastructure.

The position emphasizes SQL, VertiPaq, DAX, and Spark-based processing. You will collaborate with stakeholders to modernize data environments, deliver scalable data solutions, and support cross-system data integration.

Qualifications

• 3+ years of SQL for data transformations.
• 3+ years building VertiPaq semantic models.
• 3+ years using DAX for calculations.
• 3+ years Python, R, or Scala for data processing.
• 3+ years Spark or similar engines for large data workloads.
• Experience modernizing data environments for analytics/automation.
• Strong database concepts and large-scale data architectures.

Responsibilities

• Design, develop, and optimize data processes for large data volumes across the organization.
• Use SQL to transform data for reporting and analytics.
• Build and maintain VertiPaq models for BI.
• Develop DAX calculations for business metrics and reporting.
• Collaborate with stakeholders to translate methodologies into data solutions.
• Create efficient data pipelines across systems and ensure data consistency.
• Support modernization enabling AI and automation initiatives.
• Utilize Python, R, or Scala for data processing and automation.
• Leverage Spark to handle large-scale data workloads.

Skills

SQL

DAX

Python

R

Scala

Spark

Tools

VertiPaq

Spark

Job description

Aston Carter is seeking a Data Engineer for a fully remote role in the United States. You will design, build, and optimize data pipelines, models, and calculations to enable robust reporting, analytics, and AI-ready data infrastructure.

The position emphasizes SQL, VertiPaq, DAX, and Spark-based processing. You will collaborate with stakeholders to modernize data environments, deliver scalable data solutions, and support cross-system data integration.