Top Benefits
Flexible working hours to match your style
Offsites - get to meet your coworkers on a fully-expenses trip every 6-12 months
A variety of virtual team events such as game nights & happy hours
About the role
Who you are
- 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
- Experience with DBT / Bigquery / Dagster / Python
- Experience working as a product software engineer
- Experience working in the legal domain
- Experience working with document processing with unstructured data
What the job involves
- 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
Benefits
- Flexible working hours to match your style
- Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
- A variety of virtual team events such as game nights & happy hours
- Choice of medical, dental, and vision insurance plans for you and your family
- Flexible paid time off and 10+ holidays per year
- A stipend to upgrade your home office for fully-remote roles
- 401k for US-based employees
Top Benefits
Flexible working hours to match your style
Offsites - get to meet your coworkers on a fully-expenses trip every 6-12 months
A variety of virtual team events such as game nights & happy hours
About the role
Who you are
- 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
- Experience with DBT / Bigquery / Dagster / Python
- Experience working as a product software engineer
- Experience working in the legal domain
- Experience working with document processing with unstructured data
What the job involves
- 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
Benefits
- Flexible working hours to match your style
- Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
- A variety of virtual team events such as game nights & happy hours
- Choice of medical, dental, and vision insurance plans for you and your family
- Flexible paid time off and 10+ holidays per year
- A stipend to upgrade your home office for fully-remote roles
- 401k for US-based employees