At our client partner, they empower their clients with data, technology, and market knowledge to reduce costs, create efficient networks, and decarbonize transportation. As a strategic partner to their clients, they 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, their culture thrives on curiosity, autonomy, and purpose-driven innovation. There, 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. Our client partner is 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 their systems, teams, and culture. This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience.
JOB RESPONSIBILITIES
What You'll Do Collaborate with cross-functional teams—including product owners, designers, and fellow engineers—to build reliable, scalable systems. Working closely with our clients, market experts, and the broader organization's team, you will 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 our on-call rotation and support production systems, embracing a shared ownership model. This Role Might Be a Great Fit If… You're enthusiastic about tackling complex challenges and can distill them into actionable solutions. You prioritize writing clean, readable, and testable code, while understanding the importance of pragmatism. Understanding the underlying purpose of your work motivates you, beyond merely delivering features. You thrive in collaborative settings, engaging with engineers, product owners, and designers to achieve common goals. You're committed to advancing sustainability in transportation and reducing environmental impact through technological innovation. This Role Might Not Be the Best Fit If… You prefer working in isolation or solely on predefined tasks without broader context. Adaptability to shifting priorities in a dynamic environment is challenging for you. Collaborating with non-engineering disciplines, such as product and design, doesn't align with your working style. You seek a rigid hierarchical structure to guide all decision-making processes. Mentoring others and contributing to team growth aren't areas of interest for you.
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.
QUALIFICATIONS
What you bring 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, with a focus on a combination of data modeling and engineering. In depth experience in designing and implementing scalable and 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 with a focus on building and maintaining data platforms, data pipelines, and data ingestion tools. Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow. In depth understanding of database concepts, data modeling, and data warehousing principles. Strong understanding of distributed data management systems and related applications. Familiarity with public cloud infrastructure design, tools, and strategies. Experience with software development methodologies including Agile, Kanban, and Scrum A growth mindset and excitement for using AI to drive innovation, improve workflows and solve complex problems. Collaborative by nature, you value pairing, whiteboarding sessions, 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, graph
QL Cloud & Infrastructure:
Google Cloud Platform (GCP),
Terraform, Docker Data & Analytics:
BigQuery, dbt
Monitoring & Observability:
GCP Monitoring Pay:
Up to $170,000.00 per year
Benefits:
401(k) 401(k) matching Dental insurance Employee assistance program Health insurance Life insurance Paid time off Referral program Vision insurance