Data Engineer

Praise Tech Solutions; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Praise Tech Solutions is seeking a Data Engineer to design and optimize our data infrastructure across ETL, pipelines, and warehousing. You will partner with data scientists, software engineers, and analysts to understand data needs and deliver scalable solutions.

Join a collaborative team that builds processes for batch and real-time data, drives automation, and enhances analytics capabilities to support product leadership in the industry.

Responsibilities

• Design and implement scalable ETL processes, data pipelines, and data warehousing solutions with cross-functional teams.
• Build and maintain scalable data management systems and data integration workflows.
• Develop data pipeline architecture for batch and real-time processing and drive infrastructure scalability.
• Collaborate with executives, product, data, and design teams to resolve data-related issues.
• Create analytics tools for data scientists to enhance product functionality and leadership.

Job description

Job Duties:

• Design and implement scalable ETL processes, data pipelines, and data warehousing solutions. Collaborate with cross-functional teams including Data Scientist, Software Engineers, and Data Analysts to understand data need and deliver innovative solutions
• Design, construct, install, test, and maintain highly scalable data management systems. Develop and implement ETL processes, data pipelines, and data integration workflows.
• Build and maintain optimal data pipeline architecture for both batch and realtime data processing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Work with stakeholders including executive, product, data, and design teams to assis with data related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assis them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems

Location: Anywhere in USA