Data Engineer — AWS, Databricks & PySpark

REPAY; Georgia; On-site; USD 120,000 - 150,000; 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 in Atlanta, GA is seeking a Data Engineer to design, build, and maintain scalable cloud-based data infrastructure and pipelines, enabling reliable analytics and BI.

You will work with AWS, Databricks, PySpark, SQL, and Python to deliver production-grade data models, ETL/ELT processes, and data warehousing solutions, collaborating with BI, Product, Engineering, and client-facing teams.

Qualifications

• Undergraduate or Masters degree in Computer Science, Statistics, or Analytics.
• 3–5 years of experience in Data Engineering, preferably on AWS-based platforms.
• Hands-on experience building, maintaining, and supporting cloud data pipelines.
• Strong knowledge of PySpark, Databricks, SQL, and Python.
• Experience with CI/CD, unit testing, and code quality standards.

Responsibilities

• Design, build, and maintain scalable cloud data pipelines and data infrastructure.
• Deliver high‑quality data models and curated datasets for analytics and reporting.
• Optimize PySpark, SQL workloads for performance and cost efficiency.
• Monitor, troubleshoot, and support production data pipelines.

Education

Bachelor's or Master's in Computer Science / Statistics / Analytics

Tools

Databricks

PySpark

SQL

Python

AWS

CI/CD

Spark

Job description

REPAY in Atlanta, GA is seeking a Data Engineer to design, build, and maintain scalable cloud-based data infrastructure and pipelines, enabling reliable analytics and BI.

You will work with AWS, Databricks, PySpark, SQL, and Python to deliver production-grade data models, ETL/ELT processes, and data warehousing solutions, collaborating with BI, Product, Engineering, and client-facing teams.