Cloud Data Engineer – AWS, Databricks & PySpark

REPAY; Utah; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

100% coverage of employee healthcare

Life insurance

Disability insurance

Work-life balance resources

401(k)-employer match

Employee Stock Purchase Plan

Annual Bonus Program

Job summary

REPAY is seeking a Data Engineer to design, build, and optimize scalable cloud data pipelines and models. You will work with AWS, Databricks, PySpark, SQL, and Python to support analytics, BI, and business intelligence initiatives.

Responsibilities include production support, CI/CD, and collaborating with cross-functional teams to translate requirements into robust data solutions. This role offers growth in a fast-paced fintech environment.

Qualifications

• Undergraduate or Masters in Computer Science, Statistics, or Analytics.
• 3–5 years of data engineering experience with AWS-based cloud platforms.
• Hands-on data pipelines, PySpark, Databricks, SQL, and Python.
• Experience with CI/CD, automated deployments, and unit testing.
• Ability to translate requirements into scalable data solutions.

Responsibilities

• Design, build, and maintain scalable cloud data pipelines and infrastructure.
• Deliver high-quality data models and curated datasets for analytics.
• Optimize Spark, PySpark, and SQL workloads for performance and cost.
• Monitor, troubleshoot, and support production data pipelines.
• Partner with BI, Product, Engineering to meet reporting needs.

Skills

PySpark

SQL

Python

Databricks

AWS

Data modeling

CI/CD

Education

Bachelor's or Master's in CS/Analytics

Tools

Databricks

AWS

Kafka

Terraform

Job description

REPAY is seeking a Data Engineer to design, build, and optimize scalable cloud data pipelines and models. You will work with AWS, Databricks, PySpark, SQL, and Python to support analytics, BI, and business intelligence initiatives.

Responsibilities include production support, CI/CD, and collaborating with cross-functional teams to translate requirements into robust data solutions. This role offers growth in a fast-paced fintech environment.