Job Opportunities API

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The  Senior Data & Analytics Engineer  will  play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer  expertise  of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional  proficiency  in English, verbally and in writing. This role is open to US based applicants only. Responsibilities   Data & Analytics Engineering Expertise:  You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models.   Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform   Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability   Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders   Consistently seek out and deliver on engagement-level vision, tasks, and problems   Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities   Autonomous in approach and provides technical guidance to less experienced engineers   Cross-Team Collaboration:  You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs.   Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements   Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches   Create processes and/or documentation templates that help cross-functional teams solve common data problems   Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively   Take initiative to identify, communicate, and solve important problems, coordinating with others on