Top Remote Data Engineer Jobs in Louisville, KY

The Senior Data Engineer designs and maintains data pipelines and structures, implements Adobe tools, validates data accuracy, and collaborates with teams for data-driven insights.

The Senior Data Engineer will develop data pipelines for predictive modeling, collaborate with teams, manage data assets, and apply AI solutions in an insurance context.

As a Senior Data Engineer, you will build and maintain data pipelines for analytics, collaborating with teams to implement data models and ensure data quality.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

Design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate with data teams to create solutions for analytics.

The Senior Data Governance and Quality Engineer will design data quality frameworks, drive governance initiatives, and collaborate with teams to ensure data integrity and compliance.

The Data Services Integration Engineer automates data workflows, integrates systems using Microsoft Power Platform, and ensures data integrity through governance policies and documentation.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

The Senior Data Analytics Engineer develops business intelligence solutions using the Microsoft Analytics stack, collaborates with clients, and delivers scalable data solutions.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The role involves developing AI applications, building data pipelines, maintaining analytics infrastructure, and collaborating with sales teams to enhance go-to-market strategies using data-driven insights.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Data Quality Engineer ensures the accuracy and reliability of healthcare data pipelines, drives QA automation, and collaborates with cross-functional teams to resolve data integrity issues.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Data Visualization Engineer will create data storytelling products, enhancing user experiences with intuitive data representations and collaborating closely with stakeholders on visual applications.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.