Cloud Data Engineer: Scalable ETL & Analytics Builder

Kforce Inc; Wexford (Allegheny County); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA

FSA

401(k)

Life insurance

Disability insurance

Job summary

Kforce is seeking a data engineer to design, build, and maintain scalable ETL pipelines using AWS Glue, Redshift, and Spark to support analytics, reporting, and downstream applications.

You will own metadata management, data governance, and collaborate with engineering and business teams to deliver trusted datasets. The role emphasizes data quality, security, and scalable data assets across teams.

Qualifications

• Experience with AWS data services including Redshift, Spark, Glue ETL, Glue Crawlers, S3, Step Functions, and Glue Data Catalog.
• Strong SQL and Python skills for large, complex datasets.
• Experience building and supporting production-grade data pipelines.
• Ability to translate business needs into scalable data solutions.
• Independent, accountable, and detail-oriented with strong collaboration skills.

Responsibilities

• Design, build, and maintain scalable ETL pipelines using AWS Glue, Crawlers, Apache Hudi, and Step Functions.
• Manage and optimize data storage in Amazon S3.
• Work with Redshift for analytics, reporting, and downstream apps.
• Own metadata management and schema discovery with AWS Glue Data Catalog.
• Ensure data quality, integrity, and reliability across pipelines.

Skills

AWS data services

SQL

Python

Data modeling

ETL pipelines

Git

Linux

Communication

Tools

AWS Glue

Redshift

S3

Apache Spark

Step Functions

Glue Data Catalog

Jira

Confluence

Job description

Kforce is seeking a data engineer to design, build, and maintain scalable ETL pipelines using AWS Glue, Redshift, and Spark to support analytics, reporting, and downstream applications.

You will own metadata management, data governance, and collaborate with engineering and business teams to deliver trusted datasets. The role emphasizes data quality, security, and scalable data assets across teams.