Staff Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and take ownership of near real-time data pipelines utilizing CDC, streaming ingestion, and event-driven architectures.

• Assess, implement, and sustain vector database infrastructure and embedding pipelines for semantic search, retrieval-augmented generation, and AI agents.

• Create and develop ELT/ETL pipelines that ingest data from platform, financial, CRM, and HRIS systems.

• Architect the warehouse/lakehouse as a foundational system of record.

• Develop lightweight transformation layers such as dbt for business-ready datasets and core metrics, including ARR, CAC, and churn.

• Ensure pipeline reliability and observability through monitoring, automated failure notifications, and lineage tracking.

• Establish the technical groundwork for self-service and AI-driven reporting.

• Collaborate with stakeholders from BI, Product, Engineering, Finance, Marketing, Customer Success, and Operations.

• Enforce data governance practices, documentation standards, and access controls.

• Utilize AI-augmented development workflows to expedite pipeline creation and documentation.

⛳️ Requirements

• Over 7 years of hands-on experience in data engineering.

• Significant expertise in streaming and event-driven systems.

• Demonstrated experience designing and constructing near real-time pipelines from the ground up in a production environment.

• Familiarity with Kafka, Kinesis, Flink, Debezium/CDC, or similar technologies.

• Practical production experience with vector databases and embeddings.

• Experience with Zilliz, Pinecone, Weaviate, pgvector, Milvus, or similar platforms.

• Advanced skills in SQL and Python.

• Working knowledge of Snowflake, BigQuery, or Databricks.

• Proficient in dbt.

• Experience in building or significantly contributing to an end-to-end production data environment.

• Familiarity with B2B SaaS and recurring revenue data models.

• Working knowledge of BI/reporting tools like Looker, Tableau, or Power BI.

• Experience with ELT/ETL tools such as Fivetran or Airbyte.

• Understanding of data observability and reliability best practices.

• Proficient with AI-augmented development tools such as Claude or Copilot.

• Capability to work independently and manage multi-stakeholder projects in a fast-paced, lean environment.

🏝️ Benefits

• Health benefits.

• Flexible paid time off.

• Parental leave.

• Fertility and adoption assistance.

• 401(k).

• Educational reimbursement.

• Reasonable accommodations during the application and interview process.