Senior Data and Analytics Engineer

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 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
• Skills & Qualifications
• 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

Compensation Range: $160,000 - 175,000  annually

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

• Core Company Values
• Take the Long View - Ensure the company is built to last
• Be Courageous - Make the right decisions even when they aren't the easiest decisions
• Be Genuine - Bring honesty and authenticity to all that you do
• Work with Focus + Passion - Display purpose and pride in your work and never stop learning

As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team.

We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.

At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.