onhires - Founding Data Engineer (Analytics Platform)
Requirements
• Airflow / Prefect • Snowflake / BigQuery • Looker / Metabase • Fivetran / Airbyte • GitHub Actions • Kafka (planned) • 3+ years of experience as a Data Engineer or in a similar role • Strong SQL skills and proficiency in Python (Scala is a plus) • Hands-on experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift • Experience with workflow orchestration tools including Airflow, Prefect, Dagster, or similar • Strong understanding of data modeling and experience with dbt or comparable transformation frameworks • Experience designing and maintaining production-grade data pipelines • A strong sense of ownership and a commitment to building reliable, high-quality data systems • Ability to communicate technical concepts clearly to cross-functional stakeholders • Experience implementing secure, privacy-conscious data practices • Experience in a B2C SaaS, subscription, or marketplace business • Familiarity with Segment, Amplitude, Mixpanel, or similar product analytics platforms • Experience designing semantic layers or canonical data models • Exposure to streaming technologies such as Kafka or Kinesis • Experience with ML infrastructure or feature stores • Previous experience building a data platform in a startup or scale-up environment • What our client offers
Responsibilities
• Build the Data Platform • Design, build, and maintain scalable ELT/ETL pipelines integrating product data, payment providers, and third-party APIs • Architect and own the company's cloud data warehouse (Snowflake, BigQuery, or Redshift) • Build reliable orchestration workflows using Airflow, Prefect, or similar tools • Optimize warehouse performance and cost through efficient data modeling and query optimization • Ensure Data Quality & Governance • Develop clean, testable transformation layers using dbt or equivalent frameworks • Design a semantic layer that provides consistent business metrics across the organization • Implement data quality testing, monitoring, lineage, and documentation • Build security and governance into the platform, including access controls, PII handling, and privacy-aware data practices • Partner Across Engineering & Product • Work closely with Product and Growth teams to support product analytics, experimentation, subscription metrics, and business reporting • Collaborate with software engineers on event tracking, data contracts, and API integrations • Promote DataOps best practices, including CI/CD, version control, testing, and documentation-as-code
Benefits
• Fully remote work with flexible working hours • 22 paid vacation days plus local public holidays • A modern engineering environment with contemporary technologies
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