Senior Analytics Engineer (Breakthrough)

Breakthrough; Green Bay (WI); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Supportive culture

Leadership opportunities

Mission-driven work

Job summary

Breakthrough is seeking a Senior Analytics Engineer to enhance our data analytics capabilities while promoting sustainable practices. This position can be on-site in Green Bay or remote/hybrid depending on candidate experience.

In this role, you will collaborate with cross-functional teams to design, develop, and implement high-performance analytics solutions that drive innovation in the transportation industry. You will also write clean code, optimize data processes, and mentor fellow engineers.

If passionate about using your expertise to support impactful projects, we encourage you to apply!

Qualifications

• 10+ years as a data or analytics engineer focusing on data modeling and engineering.
• In-depth experience designing and implementing scalable, high-performance analytics features.
• Strong proficiency in multiple programming languages and frameworks.

Responsibilities

• Collaborate with cross-functional teams to build reliable systems.
• Lead the design and implementation of new product features and services.
• Write clean, maintainable code and review pull requests.

Skills

Data modeling

Python

SQL

dbt

Cloud infrastructure

Education

Bachelor's degree in Computer Science or related technical field

Tools

Docker

Kubernetes

Terraform

Job description

Position Summary

About Breakthrough: At Breakthrough, we empower our clients with data, technology, and market knowledge to reduce costs, create efficient networks, and decarbonize transportation. As a strategic partner to our clients, we challenge legacy practices in the $700 billion transportation industry, delivering sustainable fuel and freight products that foster fair partnerships and environmental responsibility.

As a digital product company, our culture thrives on curiosity, autonomy, and purpose-driven innovation. Here, you're not just executing tasks; you're collaborating with a team dedicated to transforming transportation and making a tangible impact on the global economy and the planet.

The Role

As a Senior Analytics Engineer, you will play a crucial role in the design, development, and implementation of robust, scalable, and high-performance analytics solutions. You will be responsible for analytic data modeling, building efficient ETL processes, and seamless integrations with SaaS products and visualization tools, leveraging your expertise to drive technical excellence across the team. We're seeking individuals who excel in collaborative environments, are driven by the "why" behind their work and the core problems they're trying to solve, and are eager to develop innovative solutions while influencing the evolution of our systems, teams, and culture.

This role is open to work on-site in Green Bay or remote/hybrid options based on relevance of candidate experience.

Job Responsibilities

What You’ll Do

• Collaborate with cross-functional teams—product owners, designers, and fellow engineers to build reliable, scalable systems.
• Work closely with our clients, market experts, and the broader Breakthrough team to build innovative solutions that solve industry problems.
• Lead the end-to-end design and implementation of new product features and services.
• Learn and apply the latest technologies to our cloud-native solutions.
• Write clean, maintainable code accompanied by comprehensive automated tests.
• Review pull requests, mentor other engineers, and elevate the technical standards within the team.
• Contribute to technical strategy, system design, and process improvements.
• Participate in the on-call rotation and support production systems, embracing a shared ownership model.

How We Work

• Hybrid-friendly: While many team members are based in Green Bay, we embrace remote work and prioritize impact over location.
• Cross-functional teams: You’ll be part of an agile team of fellow engineers, fostering a holistic approach to product development by working with Product Owners, Quality Assurance, and others throughout the organization.
• Continuous improvement: We regularly conduct retrospectives, refine our processes, and invest in addressing technical debt to enhance our workflows.
• Empowered engineers: Beyond task execution, you’re encouraged to influence both what we build and how we build it, ensuring alignment with our strategic objectives.

This Role Might Be a Great Fit If…

• Enthusiastic about tackling complex challenges and can distill them into actionable solutions.
• Prioritizes writing clean, readable, and testable code, while understanding the importance of pragmatism.
• Motivated by the underlying purpose of the work, beyond merely delivering features.
• Thrives in collaborative settings, engaging with engineers, product owners, and designers to achieve common goals.
• Committed to advancing sustainability in transportation and reducing environmental impact through technological innovation.

This Role Might Not Be the Best Fit If…

• Prefers working in isolation or solely on predefined tasks without broader context.
• Finds adaptability to shifting priorities in a dynamic environment challenging.
• Does not align with collaborating with non-engineering disciplines such as product and design.
• Seeks a rigid hierarchical structure to guide all decision-making processes.
• Does not have interest in mentoring others or contributing to team growth.

Qualifications

• Bachelor’s degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
• 10+ years as a data or analytics engineer, focusing on data modeling and engineering.
• In-depth experience designing and implementing scalable, high-performance analytics features.
• Strong proficiency in multiple programming languages, frameworks, and technologies—specifically dbt, SQL, Jinja, BigQuery, cube, and Python.
• Expert knowledge of data architectures, security best practices, and data integration concepts.
• Experience with ETL technologies and data engineering focused on building and maintaining data platforms, pipelines, and ingestion tools.
• Exposure to modern infrastructure such as Docker, Kubernetes, Terraform, and Airflow.
• Deep understanding of database concepts, data modeling, and data warehousing principles.
• Strong grasp of distributed data management systems.
• Familiarity with public cloud infrastructure design, tools, and strategies.
• Experience with software development methodologies including Agile, Kanban, and Scrum.
• Growth mindset and excitement for using AI to drive innovation, improve workflows, and solve complex problems.
• Collaborative nature, valuing pairing, whiteboarding, and learning from diverse perspectives.
• Passionate about delivering high-quality products that enhance client experiences and drive sustainability in transportation.

Tech We Use

• Backend: Python, Postgres
• Frontend: Node, React, TypeScript, GraphQL
• Cloud & Infrastructure: Google Cloud Platform (GCP), Terraform, Docker
• Data & Analytics: BigQuery, dbt
• Monitoring & Observability: GCP Monitoring

Why Breakthrough

• Mission-driven work: Engage in projects that have a tangible impact on the economy and the environment.
• Supportive culture: Experience a workplace that values autonomy, growth, and meaningful contributions.
• Leadership opportunities: Take on roles that allow you to mentor, guide, and shape the future of our products and technological direction.
• Established backing: As a U.S. Venture company, we benefit from a legacy of innovation and a commitment to sustainable practices.

Apply Now

If you’re driven to develop smarter, cleaner transportation solutions and want to be part of a team that’s making a difference, we’d love to hear from you!

U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic.

If you need assistance or an accommodation due to a disability, you may call Human Resources at [phone].