Partner with internal team members and stakeholders to understand business needs and build data solutions that support analytics and reporting
Implement scalable and efficient data architectures in cloud environments
Develop and maintain data pipelines using SQL and Python to ingest, transform, and load data from APIs, SaaS platforms, and operational databases into cloud data platforms
Build clean, well-structured datasets using SQL and other transformation workflows, following data modeling best practices

2+ years of professional experience working with data pipelines, data analysis, or data engineering–related projects (including internships or equivalent experience)
2+ years of work experience working with cloud platforms such as: Azure, AWS, or Google Cloud Platform
Familiarity with working in notebook-based environments such as Databricks, Jupyter, or similar platforms
1+ years of work experience writing SQL queries across large datasets such as clickstream data (terabytes)
1+ years of experience working with data visualization tools such as Power BI, Tableau, or Looker
On-the-job experience with version control systems (e.g., Git) and DevOps best practices

Competitive Medical/Dental/Vision coverage: premiums for the employee are covered
Group Life, Short
& Long-term Disability coverage: premiums for the employee are covered
PTO (Paid Time Off): flexible vacation policy, recommended 15+ days per calendar year
PSST (Paid Sick & Safe Time): flexible sick policy
Holidays: 11 days per calendar year
401(K) match: 100% for the first 1%, then matches 50% up to another 5% (max 3.5% match on 6% contribution)
Training Stipend: $400 per calendar year
Ergonomics Stipend: $400 per calendar year

Data Engineer

Key skills