Data Engineer - ETL, Pipelines & BI (Hybrid)

Epignosis; Kentucky; Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Health coverage

Meal allowance

Transit subsidy

Learning budget

Starttech ecosystem access

Job summary

Epignosis is seeking a Data Engineer to build scalable data pipelines and maintain robust data infrastructure. You will design data models, optimize databases, and collaborate with Developers, DevOps, and AI engineers to enable analytics and BI initiatives.

The role involves designing ETL processes, ensuring data quality, and working with AWS services like Aurora and DynamoDB. Join a team delivering data-driven insights across global SaaS solutions.

Qualifications

• Experience designing scalable data pipelines and data architectures.
• Strong data modeling and DB design for relational and non-relational systems.
• Collaborative mindset and ability to work with cross-functional teams (Developers, DevOps, AI).

Responsibilities

• Monitor and optimize database performance and integrity.
• Develop, maintain, and optimize ETL pipelines from multiple sources.
• Collaborate with Developers and AI Team to optimize queries and data solutions.
• Design data models and schemas for relational and non-relational databases (Aurora, DynamoDB).
• Improve data workflows and storage for performance and scalability.

Skills

SQL

ETL pipelines

Data modeling

Python

AWS

Aurora & DynamoDB

Tools

AWS Athena

Redshift

Job description

Epignosis is seeking a Data Engineer to build scalable data pipelines and maintain robust data infrastructure. You will design data models, optimize databases, and collaborate with Developers, DevOps, and AI engineers to enable analytics and BI initiatives.

The role involves designing ETL processes, ensuring data quality, and working with AWS services like Aurora and DynamoDB. Join a team delivering data-driven insights across global SaaS solutions.