The Senior Analytics Engineer plays a critical role in shaping and scaling the data foundations that support analytics and decision‑making across the organization. This role transforms complex, raw data into reliable, well‑structured data products that analysts and business partners can confidently use to drive insights.
Sitting at the intersection of data engineering and business analytics, the Senior Analytics Engineer brings deep technical expertise—particularly in dbt and large‑scale transformation design—to guide the evolution of the analytics platform. Working closely with the Principal Analytics Engineer, this role accelerates the migration from legacy DOMO pipelines to a modern data stack, establishes robust modeling and testing standards, and helps elevate technical best practices across the Analytics Engineering team.
What you’ll do
- Design, build, and maintain complex, scalable dbt models and projects in large, multi domain environments
- Act as the team’s dbt expert, including refactoring complex transformations, resolving performance issues, and exploring, evaluating, and introducing advanced dbt features where they add clear value
- Accelerate the migration from legacy DOMO pipelines to the modern data platform in close collaboration with the Principal Analytics Engineer
- Help shape and refine shared approaches to data modeling, documentation, dbt project structure, and overall transformation practices as the platform scales
- Support the team in using AI powered IDEs, coding assistants, agents, and automation tools to improve development workflows and productivity
- Guide and support the growth of other Analytics Engineers, helping them strengthen dbt, SQL, modeling, and problem solving skills
- Collaborate with business stakeholders to understand workflows and metrics, translating real world logic into clear, reliable data models
- Provide Analytics Engineering coverage during EU business hours, partnering closely with EU based stakeholders.
What you’ll bring
- Bachelor’s Degree in Computer Science, Software Engineering, Mathematics, Data Engineering, or a related field
- Minimum of 5 years of experience in analytics engineering, data modeling, or data transformation
- Extensive hands on experience with dbt (or similar transformation tools such as SQLMesh), ideally in large, complex, multi project environments
- Advanced SQL skills, with the ability to refactor complex queries, simplify legacy logic, and optimize transformation
- Strong experience building clear, scalable data models and data products that reflect real world business processes
- Strong business acumen, with the ability to understand how the business operates through data, validate assumptions, and partner effectively with stakeholders
- Strong problem solving skills and comfort working in ambiguous, complex data environments
- Experience working with data quality practices, including tests, validations, and investigating data issues
- Strong communication skills and the ability to work effectively across technical and non technical teams
- Comfort with Git based workflows and CI/CD practices
- Experience with modern data platforms
- Familiarity with BI tools (Power BI, Looker, Tableau) for validating downstream data
- Experience migrating legacy analytics environments to modern stacks
- Exposure to data governance or metadata tools.
Education and Experience:
Bonus Points For
What's in it for you?
- Part of our incredible journey is clearly down to our amazing team, and we strongly believe in giving people a space to truly, authentically be themselves. We also believe that treating our employees well and sprinkling a great place to work with some nice perks can make work a little sweeter.
- Annual company bonus. We celebrate success together! Employees are not only rewarded for their achievements but also for contributing to the overall success of the business.
- Wellness and well-being with access to OpenUp psychologists, practice mindfulness with Headspace and tons more.
- Doggo-friendly office. We are big pet lovers and fully encourage hanging out with your (and your colleagues’) furry friends in the office
- Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration.
- We offer learning and development days to be used for training or on volunteering, money to spend on learning courses, events, trainings, Access to our in-house LEARN platform with diverse courses, training, and workshops, In-house 3D Printing and much more!
- Follow us on Instagram to see what Life at Protolabs is all about!
Skills Required
- Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Data Engineering, or related field
- Minimum of 5 years of experience in analytics engineering, data modeling, or data transformation
- Extensive hands-on experience with dbt or similar transformation tools in multi-project environments
- Advanced SQL skills for query optimization and transformation
- Experience building clear, scalable data models and products
- Strong communication skills across technical and non-technical teams
Protolabs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Protolabs and has not been reviewed or approved by Protolabs.
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Healthcare Strength — Medical, dental, and vision options are broadly available and described as good to excellent. Additional protections like short- and long-term disability and life insurance bolster the overall package.
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Leave & Time Off Breadth — A starting PTO allotment plus paid holidays, along with added wellness and volunteer time, is emphasized, with some roles noting PTO growth over tenure. Paid caregiver leave appears in postings and supports flexibility for life events.
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Retirement Support — A 401(k) with company match and immediate vesting is offered, supporting long-term savings. This foundation is frequently cited alongside core financial benefits as a strong element of total rewards.
Protolabs Insights
What We Do
Protolabs is the world's fastest digital manufacturing source for rapid prototyping and on-demand production. The technology-enabled company produces custom parts and assemblies in as fast as 1 day with automated 3D printing, CNC machining, sheet metal fabrication, and injection molding processes. Our digital approach to manufacturing enables accelerated time to market, reduces development and production costs, and minimizes risk throughout the product life cycle. 3D Printing Our 3D printing service offers a wide selection of materials and technologies to create prototypes and end-use parts with complex geometries and detailed features. With tight process controls, careful design reviews, and extensive quality monitoring, we ensure precise and repeatable 3D-printed parts, every time. CNC Machining We use 3- and 5-axis milling along with turning to machine parts from commercial-grade plastics and metals. Our online quoting system and automated manufacturing process enable us to ship parts within 24 hours, helping customers accelerate development and reduce time to market. Sheet Metal Fabrication Protolabs is an industry leader in quick-turn sheet metal parts for both prototyping and low-volume production. Our digital approach to manufacturing enables us to fabricate sheet metal parts in as fast as 5 days. Additionally, we can support our customers’ development efforts with component assemblies, several finish options, and screen printing. Injection Molding Our injection molding service offers two options—prototyping and on-demand manufacturing—which provide customers a tooling solution that aligns with their project’s requirements. It’s used for quick-turn prototyping, bridge tooling, and low-volume production of up to 10,000+ parts in 15 days or less.
