Senior Data and Analytics Engineer (Hybrid)

About the role

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.

Responsibilities

• 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 cross-cutting technical issues
• Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget.
• Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling
• Proactively identify and address technical debt with careful evaluation of development cost
• Optimize for predictability and a regular cadence of deliverables
• Keep reliability, maintainability, and scalability of client systems top of mind
• Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster

Requirements

• Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers
• Strong programming skills in Python and SQL
• Hands-on, deep expertise with Databricks - including Delta Lake, Unity Catalog, and Databricks workflows
• Strong proficiency with dbt for data transformation, testing, and documentation
• Demonstrated experience in data modeling - including dimensional modeling, entity-relationship design, and semantic layer development
• Deep knowledge of data warehousing and ELT/ETL processes
• Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory)
• Experience with cloud platforms such as AWS, Azure, or Google Clou

Benefits

Additional Information

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.

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