Cloud Data Engineer — PySpark, SQL & Databricks

REPAY; Tempe (AZ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Employee Stock Purchase Plan

Annual Bonus Program

Job summary

REPAY, a leading fintech, is seeking a Data Engineer to design, build, and optimize scalable cloud-based data infrastructure that powers analytics and business intelligence. The role partners with BI, Product, and Engineering to deliver reliable data solutions.

You will work with AWS, Databricks, PySpark, SQL, and Python to productionize data pipelines, models, and ETL/ELT processes, ensuring performance and cost efficiency. This on-site Tempe role offers growth in a fast-growing company.

Qualifications

• Undergraduate or Masters’ degree in Computer Science, Statistics, or Analytics.
• Minimum of 3–5 years of experience in Data Engineering on AWS-based data platforms.
• Hands-on experience building cloud-based data pipelines.
• Strong knowledge of PySpark, and Databricks.
• Proficient in SQL and Python.

Responsibilities

• Design, build, and maintain scalable, reliable cloud-based data pipelines and data infrastructure.
• Deliver high-quality data models and curated datasets that support analytics, reporting, and data-driven decision-making.
• Optimize Spark, PySpark, and SQL workloads to improve performance, reliability, cost efficiency, and scalability.
• Support production data pipelines through monitoring, troubleshooting, incident resolution, and continuous improvement.
• Implement data engineering standards, CI/CD practices, automated deployment processes, unit testing, and code quality expectations.
• Partner with BI, Product, Engineering, and client-facing teams to translate business and reporting requirements into scalable data solutions.

Skills

Python

SQL

PySpark

Databricks

AWS

Education

Bachelor's degree in Computer Science, Statistics, or Analytics

Tools

Apache Kafka

Terraform

Power BI

Job description

REPAY, a leading fintech, is seeking a Data Engineer to design, build, and optimize scalable cloud-based data infrastructure that powers analytics and business intelligence. The role partners with BI, Product, and Engineering to deliver reliable data solutions.

You will work with AWS, Databricks, PySpark, SQL, and Python to productionize data pipelines, models, and ETL/ELT processes, ensuring performance and cost efficiency. This on-site Tempe role offers growth in a fast-growing company.