Actively AI
Senior/Staff Software Engineer (Data Platform)
$140K–$210K
San Francisco, California, United States +1 · Staff · Full-time · Posted Apr 14, 2026
- Location
- San Francisco, California, United States
New York, New York, United States - Experience
- 5+ years; no alternative stated.
About the job
Build and scale data pipelines and infrastructure that transform customer and external data into fresh, reliable representations for Actively’s agents and workflows.
What you'll do
- Design and operate ingestion and transformation pipelines for structured and unstructured data, including real-time and mini-batch processing.
- Build customer-configurable transformations and ensure data quality, freshness, and low-latency access.
- Own data reliability through observability, lineage, schema management, and alerting.
What they ask for
- 5+ years designing and operating core data infrastructure, from ingestion and transformation through serving and observability.
- Experience building data systems for ML models, intelligent workflows, or real-time decision-making.
- Proficiency in Python, SQL, and DBT, with hands-on experience in BigQuery or Snowflake.
- Experience with streaming or mini-batch pipelines and either building a data platform at an early-stage company or scaling systems across many customers.
Nice to have
- Experience at a data infrastructure or platform company, or contributions to open-source data tooling.
- Familiarity with embedding and vector pipelines, or pipelines requiring high correctness.
Pay
$140,000 — $210,000 USD (base salary)
Tools
Python, SQL, DBT, BigQuery, Snowflake, Pub/Sub, Kafka, Dataflow
AI focus
Build data infrastructure that supplies agents with current, structured information for real-time reasoning and decisions; experience supporting ML models or intelligent workflows is required.
Model-written summary · the original posting is authoritative