Senior Data & Analytics Engineer (USA - Remote)
About The Position
At Gurobi Optimization, we're on a mission! A mission that focuses on mathematical optimization. We empower our customers to expand their use of mathematical optimization technology in order to make smarter decisions and solve some of the world's toughest and most impactful business problems. We're looking for passionate, dedicated, innovative game-changers to join our team and drive the future of Gurobi. We are seeking a Senior Data & Analytics Engineer to design, build, and maintain our modern BI data pipeline. This role combines data engineering and analytics engineering and is responsible for transforming raw data into reliable, well-modeled, business-ready datasets. As a senior member of the team, you will not only architect and maintain scalable data pipelines but also mentor others, establish best practices, and help lead the technical execution of our long-term data strategy. You will play a foundational role in building a modern data platform that empowers stakeholders across the company with trusted, actionable insights.
Requirements
- 5+ years in data engineering, analytics engineering, or similar roles.
- Strong SQL and Python skills (required).
- Experience building and maintaining production-grade data pipelines.
- Experience designing data models and analytics-ready data marts.
- Hands-on experience with modern cloud data warehouses (BigQuery is a plus).
- Experience working within Google Cloud Platform (GCP) environments (preferred).
- Familiarity with ELT tools (Fivetran is a plus).
- Strong experience with dbt in a production environment.
- Experience with Git-based version control and CI/CD workflows.
- Exposure to reverse ETL tools is a plus.
- Strong data modeling fundamentals.
- Ability to design scalable, maintainable data systems.
- Strong communication skills and ability to work cross-functionally.
- Passion for clean, reliable, well-documented data.
- Ability to mentor and raise the bar for others.
- Strong problem-solving skills and attention to detail.
Nice To Haves
- Experience with data analysis and BI tools â we are a small, high-impact team and value engineers who can occasionally operate across the full analytics stack.
- Strong ownership mindset with the ability to operate independently and drive initiatives forward.
- Comfort operating in a fast-moving, growing company.
- Experience building a modern data platform from early-stage or greenfield environments is a strong plus.
Responsibilities
- Build and maintain scalable data pipelines from ingestion through transformation and delivery.
- Design, build, and maintain our data warehouse and data marts.
- Build scalable ELT workflows using modern data stack tools.
- Develop and maintain our data transformations using SQL and Python.
- Lead and maintain our dbt setup and data modeling standards.
- Ensure data quality, testing, documentation, and governance best practices.
- Build and maintain Git-based workflows and CI/CD for data projects.
- Partner with stakeholders to translate business needs into clean data models.
- Mentor junior team members and promote engineering best practices.
- Evaluate, implement, and integrate tools such as reverse ETL platforms to operationalize warehouse data.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
