[Hiring] Data Engineer @ActiveProspect

Role Description

The Data Engineer is an individual-contributor role that designs, builds, and maintains scalable data pipelines and analytical data models. The role works hands-on with our modern data stack — SQL, Snowflake, dbt, Fivetran, Kafka, and Python — to build reliable, efficient data solutions. This is an entry-level role that grows toward full ownership of the data engineering workload over time.

• Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions.
• Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including:
  • Pipeline ingestion (Fivetran, Kafka)
  • Transformation and modeling (dbt, Snowflake)
  • Level 1 support for pipeline failures, monitoring, and data quality.

Qualifications

• Strong SQL skills
• Python for data pipelines and automation
• Snowflake
• dbt
• Fivetran
• Kafka
• Data modeling
• ETL/ELT pipeline development
• Data quality and governance
• Monitoring and performance optimization

Requirements

• Reports to: Data Architect

Company Description

ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. We provide marketers the products they need to acquire qualified customers at scale. Our platform is trusted by thousands of companies engaged in direct-to-consumer marketing, helping them save wasted spend, comply with ever-changing regulations, and manage a constantly evolving partner landscape. Our flagship product, TrustedForm, is used to certify over 1 billion opt-in digital customer leads every year and is the gold standard for documenting prior express written consent for TCPA compliance.