Remote Data Engineer — Analytics & AI Pipelines

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

Benefits offered by this job

Remote work

Job summary

Aston Carter is seeking a Data Engineer to advance the company’s data environment from Dallas, TX. This remote role focuses on building a clean, scalable data foundation for reporting, analytics, and AI initiatives, with emphasis on SQL transformations, VertiPaq models, and DAX calculations.

The position supports modern data pipelines, cross-team collaboration, and high-volume data processing using Spark and Python/R/Scala. Contract-to-hire with competitive hourly pay.

Qualifications

• 3+ years of experience using SQL to develop and troubleshoot complex data transformations.
• 3+ years building VertiPaq data models for analytics.
• 3+ years using DAX for business calculations and reporting.
• 3+ years using Python, R, or Scala for data processing and automation.
• 3+ years using Spark or similar distributed data processing engines.
• Experience modernizing data environments for reporting, analytics, and automation.

Responsibilities

• Design, develop, and enhance data processes to collect, transform, organize, and deliver large data sets.
• Use SQL to optimize complex data transformations supporting reporting and analytics.
• Build and maintain VertiPaq semantic models for BI and self-service analytics.
• Develop and refine DAX calculations to support business metrics and reporting.
• Collaborate with stakeholders to translate methodologies into scalable data solutions.
• Establish efficient data pipelines and structures integrating multiple systems.
• Support modernization of the data environment for AI and automation initiatives.
• Utilize Python, R, Scala, or similar languages for data processing and automation tasks.
• Leverage Spark to handle large-scale data workloads and improve performance.

Skills

SQL

VertiPaq semantic modeling

DAX

Python/R/Scala

Spark

Data pipelines

Tools

N/A

Job description

Aston Carter is seeking a Data Engineer to advance the company’s data environment from Dallas, TX. This remote role focuses on building a clean, scalable data foundation for reporting, analytics, and AI initiatives, with emphasis on SQL transformations, VertiPaq models, and DAX calculations.

The position supports modern data pipelines, cross-team collaboration, and high-volume data processing using Spark and Python/R/Scala. Contract-to-hire with competitive hourly pay.