Data Engineer

All applicants must be based within the U.S.

What we’re looking for

As an early member of the data engineering team, you’ll create solutions and artifacts that help enable platform features for our users and marketers, while working cross-functionally with teams such as Product, Customer Success, and Platform Engineering. In this role, you will be responsible for the development and maintenance of fault-tolerant pipelines, including multiple database systems. **

Responsibilities:

• Collaborate with engineering teams to create REST API-based pipelines for large-scale MarTech systems, optimizing for performance and reliability
• Develop comprehensive data quality testing procedures to ensure the integrity and accuracy of data across all pipelines
• Build scalable dbt models and configuration files, leveraging best practices for efficient data transformation and analysis
• Partner with lead data engineers in designing scalable data models
• Conduct thorough debugging and root cause analysis for complex data pipeline issues, implementing effective solutions and optimizations
• Follow and adhere to group's standards such as SLAs, code styles, and deployment processes
• Anticipate breaking changes to implement backwards compatibility strategies regarding API schema changes
• Assist the team in monitoring pipeline health via observability tools and metrics
• Participate in refactoring efforts as platform application needs evolve over time

Competencies:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field
• +3 years of professional experience with a cloud database such as Snowflake, Bigquery, Redshift
• +1 years of professional experience with dbt (cloud or core)
• Exposure to various data processing technologies such as OLAP and OLTP and their applications in real-world scenarios
• Exposure to work cross-functionally with other teams such as Product, Customer Success, Platform Engineering
• Familiarity with orchestration tools such as Dagster/Airflow
  
• Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT
• High intermediate to advanced SQL skills (comfort with CTEs, window functions)
• Proficiency with Python and related libraries (e.g., pandas, sqlalchemy, psycopg2) for data manipulation, analysis, and automation

Benefits:

• Competitive salary with ability to evolve your role for new compensation packages
• Company equity
• 401k retirement plan + company match
• Health insurance 99% covered (+family)
• $100 monthly for personal happiness
• Family leave time (includes Paw-ternity leave for furry loved ones)
• Learning budget for relevant courses of interests