Senior Analytics Engineer (Breakthrough)

U.S. Venture, Inc.Green Bay, WI
12dHybrid

About The Position

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. “At Breakthrough, we’re figuring out things for the first time; things that no one else has ever done before” - Engineering leader, Breakthrough This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience.

Requirements

  • 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.
  • Experience in designing and implementing scalable and high-performance analytics features.
  • Proficiency in multiple programming languages, frameworks, and technologies, specifically dbt, SQL, Jinja, BigQuery, cube, and Python.
  • 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.
  • 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.

Responsibilities

  • 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 Breakthrough 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.
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