Senior Data Engineer, EvenUp

• 4+ years of experience as a Data Engineer, Analytics Engineer or Business Intelligence Engineer, ideally in product-focused, fast-paced environments
• Strong experience with designing dimensional models and defining clear source-of-truth metrics
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala for data wrangling or orchestration logic
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Metabase)
• A self starter, comfort working in fast paced and evolving environments with a bias toward action
• Excellent communication skills and experience collaborating closely with product managers and business stakeholders
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
• Strong attention to detail, structured thinking, and experience developing processes to reduce human error

Desirable

• The Analytics team at EvenUp plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement
• Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting
• We’re looking for a Senior Data Engineer - Analytics to join our fast-paced, data-driven team. You’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights
• You’ll work closely with partner teams to drive end-to-end analytics initiatives and work alongside Data Scientists, ML Engineers, Product Managers, Software Engineers and Operations
• Partner with product, analytics, and operations teams to understand data needs and translate them into scalable models and pipelines
• Build and maintain robust, well-documented ELT pipelines using tools like dbt, Airflow/Dagster, and Snowflake (or similar)
• Own the design and evolution of data models that support reporting, experimentation, and product feature instrumentation
• Improve data quality and reliability by establishing and maintaining testing, monitoring, and alerting practices
• Help drive our data architecture forward with a focus on usability, performance, strong data governance, and scalability
• Mentor other engineers and analysts on data best practices, modeling standards, and tooling