Software Engineer, Data Products
Skills
- 5+ years software engineering experience focused on data systems, backend development, or APIs
- Proficiency in one or more backend languages: Python, Scala, Go, Java
- Familiarity with frontend technologies (TypeScript, React)
- Strong data modeling, schema evolution, and ETL/ELT pipeline experience
- Hands-on experience with cloud platforms (AWS or GCP), Postgres and/or BigQuery
- Experience with streaming systems (Kafka or Pub/Sub)
- Proven experience building customer-facing APIs and data products
- Product mindset, strong communication skills, and bias for action
Responsibilities
- Collaborate with Product and engineering to design and build scalable data products and customer-facing APIs
- Own and evolve schemas, data models, and ETL/ELT pipelines for datasets like Buying Groups, Account Journeys, and Intent signals
- Drive architecture decisions and delivery for new datasets and partner integrations
- Ensure product-driven engineering by validating solutions with stakeholders and customers
- Scale data model configuration and generation infrastructure to meet growing demand
- Contribute to team culture, mentor peers, and promote technical best practices
Education
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Relevant coursework or professional experience in data systems, distributed systems, or backend engineering
Benefits
- Up to 100% paid premiums for Medical and Vision coverage
- Mental wellness resources including Modern Health
- Flexible PTO policy and 15 paid holidays in 2025 (including extended breaks)
- No Internal Meetings Fridays to encourage focus time
- Competitive 401(k), short- and long-term disability, and life insurance
- Inclusive culture with focus on diversity, equity, and inclusion
Average salary estimate
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