Cloud Data Engineer: PySpark, Databricks & AWS

REPAY; Arizona; Presencial; USD 120 000 - 155 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% employee healthcare premiums

401(k) employer match

Employee Stock Purchase Plan

Annual Bonus Program

Life insurance

Disability insurance

Work-life balance resources

Resumo da oferta

REPAY is seeking a Data Engineer to design, build, and optimize scalable cloud data pipelines. You will develop production-grade data models and ETL/ELT processes using AWS, Databricks, PySpark, SQL, and Python to enable analytics and BI across teams.

Collaborate with BI, Product, Engineering, and client-facing groups to deliver high-quality data solutions that support operational decisions and reporting needs.

Qualificações

• Undergraduate or Masters' degree in Computer Science, Statistics, or Analytics.
• 3–5 years of Data Engineering experience with AWS-based data platforms.
• Hands-on experience building cloud data pipelines and ETL/ELT processes.
• Strong knowledge of PySpark, preferably on Databricks.
• SQL proficiency with query optimization.

Responsabilidades

• Design, build, and maintain scalable cloud-based data pipelines and data infrastructure.
• Deliver high-quality data models and curated datasets for analytics and BI.
• Optimize Spark, PySpark, and SQL workloads for performance and cost.
• Support production data pipelines through monitoring and incident resolution.
• Document data flows, pipeline logic, and operational processes.

Conhecimentos

Python

SQL

PySpark

Data modeling

Cloud data pipelines

ETL/ELT

Formação académica

Bachelor's degree in Computer Science

Ferramentas

Databricks

AWS

Power BI

Tableau

MongoDB

Kinesis

Descrição da oferta de emprego

REPAY is seeking a Data Engineer to design, build, and optimize scalable cloud data pipelines. You will develop production-grade data models and ETL/ELT processes using AWS, Databricks, PySpark, SQL, and Python to enable analytics and BI across teams.

Collaborate with BI, Product, Engineering, and client-facing groups to deliver high-quality data solutions that support operational decisions and reporting needs.