Lovelytics LLC

HQ
Arlington, Virginia, USA
70 Total Employees
Year Founded: 2017

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Jobs at Lovelytics LLC

Search the 5 jobs at Lovelytics LLC

Big Data • Professional Services • Business Intelligence • Consulting
The Lead Consultant, Data Engineer will deliver strategic client engagements by designing and implementing complex ETL/ELT pipelines, managing data integrations, and ensuring data modeling accuracy. The role involves collaboration with team members and clients, leading work streams, and contributing to performance enhancement projects.
Big Data • Professional Services • Business Intelligence • Consulting
The Senior Manager, ML/AI at Lovelytics will lead strategic data and AI client engagements, manage a team of consultants, oversee project scopes and plans, deploy ML workflows, and ensure compliance and data governance across projects while fostering a collaborative work environment.
Big Data • Professional Services • Business Intelligence • Consulting
The Senior Manager, Data Engineer will lead strategic Databricks and data engineering client engagements, overseeing a team and managing project scopes, plans, and performance. Responsibilities include ensuring project milestones, providing technical solutions, and integrating Databricks with third-party applications while fostering team development and compliance with data governance frameworks.
16 Days Ago
Arlington, VA, USA
Big Data • Professional Services • Business Intelligence • Consulting
As a Tech Lead in Data Engineering, you will manage client engagements, lead data engineering projects, and mentor junior engineers while implementing ETL pipelines and managing data solutions across Databricks, AWS, and Azure.
16 Days Ago
Arlington, VA, USA
Big Data • Professional Services • Business Intelligence • Consulting
As a Principal Data Engineer at Lovelytics, you will design and implement data pipelines using Databricks, architect data lakes and warehouses, and ensure project milestones are met. You will also lead technical engagements, translate business requirements into solutions, and collaborate with teams to optimize data governance and security.