Description:

Jobgether is seeking a Staff Data Engineer to work remotely in the United States.
The role requires a highly skilled and motivated data engineer with expertise in data lake development, distributed processing, and enterprise-level data integration.
Responsibilities include designing, building, and maintaining secure and scalable data pipelines.
The position involves collaboration with cross-functional teams across analytics, engineering, and AI.
This is a hands-on role that contributes to architectural discussions and drives improvements in data accessibility and quality.
The engineer will support mission-critical decision-making with reliable data infrastructure.
The ideal candidate is passionate about building data systems that scale and perform in a fast-paced, innovative environment.

Requirements:

Candidates must have 6–10 years of experience in data engineering, data analysis, or software development roles.
Proficiency in SQL and NoSQL databases is required, along with strong hands-on experience with Spark/Databricks.
Skills in modern data orchestration tools such as Airflow and cloud services like AWS (EC2, S3, Lambda, RDS, IAM) are necessary.
Solid experience with web frameworks (Vue.js, React) and RESTful service development is expected.
Familiarity with serverless architectures and messaging systems (SQS, SNS) is important.
A Bachelor’s degree in Computer Science or a related discipline is required.
Candidates should demonstrate the ability to manage complex codebases and deliver projects from design to deployment.