Remote Data Engineer for AI-Driven Analytics & Pipelines

Talentify; Atlanta (GA); Remote; USD 83,000 - 92,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) plan

Pre-tax and Roth options

Life Insurance (Voluntary)

Job summary

Talentify is seeking a Data Engineer to advance our data environment, building scalable data pipelines and reliable models to support reporting, analytics, and AI initiatives. You will use SQL to transform data, develop VertiPaq models, and craft DAX calculations for business metrics and reporting needs.

This is a 100% remote, contract-to-hire role based out of Atlanta, GA, offering pay of $60.00–$67.00 per hour.

Qualifications

• 3+ years of experience using SQL to develop and troubleshoot complex data transformations.
• 3+ years of experience with VertiPaq semantic modeling, including building and maintaining data models for analytics.
• 3+ years of experience using DAX to create and optimize business calculations and support reporting needs.
• 3+ years of experience using Python, R, or Scala for data processing, transformation, or automation.
• 3+ years of experience utilizing Spark or other distributed data processing engines to manage large-scale data workloads.
• 3+ years of experience developing and modernizing a companys data environment for reporting, analytics, and automation.
• Strong understanding of database concepts and large-scale data architectures.
• Ability to analyze and document existing methodologies and workflows and translate them into improved data processes.

Responsibilities

• Design, develop, and enhance data processes used to collect, transform, organize, and deliver large volumes of business and project data across the organization.
• Use SQL extensively to develop, optimize, and troubleshoot complex data transformations that support reporting and analytics.
• Build, maintain, and improve VertiPaq semantic models to provide a robust foundation for business intelligence and self-service analytics.
• Develop and refine DAX calculations to support business metrics, reporting requirements, and analytical use cases.
• Collaborate with stakeholders to understand existing methodologies and workflows and translate them into efficient, scalable data solutions.
• Establish and maintain efficient data pipelines and data structures that integrate information from multiple systems in a consistent and reliable manner.
• Contribute to the modernization of the companys data environment, enabling advanced analytics, AI, and automation initiatives.
• Utilize Python, R, Scala, or similar programming languages to support data processing, transformation, and automation tasks.
• Leverage Spark or other distributed data processing engines to handle large-scale data workloads and improve performance.
• Work closely with business and technical teams to ensure data models, transformations, and reports align with business requirements and industry best practices.

Skills

SQL

VertiPaq

DAX

Python/R/Scala

Spark

Data architecture

Documentation

Data pipelines

Job description

Talentify is seeking a Data Engineer to advance our data environment, building scalable data pipelines and reliable models to support reporting, analytics, and AI initiatives. You will use SQL to transform data, develop VertiPaq models, and craft DAX calculations for business metrics and reporting needs.

This is a 100% remote, contract-to-hire role based out of Atlanta, GA, offering pay of $60.00–$67.00 per hour.