Top Remote Data Engineering Jobs in Lexington, KY

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

The Senior Analytics Engineer will build scalable data models, uphold technical best practices, support operations teams, and mentor other engineers while ensuring data-driven decision-making across HubSpot.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

This role involves translating business requirements into Salesforce configurations, collaborating with stakeholders and engineering teams, and ensuring solution design meets architectural standards. You'll focus on solutions for Sales Cloud, Service Cloud, and Experience Cloud, driving technical enhancements and process automation.

This role involves designing and building a data warehouse, data marts, and reporting layer on Azure to support business operations and analytics.

The MDP Analytical Engineer II designs and optimizes data solutions using Databricks SQL and BI platforms, ensuring data quality and collaboration with stakeholders for actionable insights.

As an Analytics Engineer, you'll design and implement data models, transform raw data into usable datasets, and create dashboards and reports using Tableau, collaborating across teams to meet business insights needs.

The Data Architect will optimize Skillable's data ecosystem, design secure solutions, mentor teams, and drive AI adoption for enhanced decision-making.

Lead modernization of data ecosystem focusing on Data Vault 2.0 and Snowflake architecture. Manage cross-team delivery, BI migrations, and vendor evaluations.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.