Staff Data Engineer

🕒 August 27

🇺🇸 United States – Remote

💵 $172k - $215k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 3%

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Harbor Compliance

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

⚖️ Legal

📦 Logistics

💰 Debt financing on 2021-12

Consulting • Legal • Logistics

Harbor Compliance is a provider of multistate regulatory compliance software and managed services that helps businesses and nonprofits manage entity formation and maintenance, licensing, tax registrations, registered agent service, and records management. Its platform (Entity Manager, License Manager, Tax Manager, Records Manager) and proprietary Compliance Core™ algorithm aggregate and monitor filings and government requirements across all U. S. jurisdictions, while offering managed filing services, onboarding, and support. Harbor Compliance targets organizations expanding or operating across state lines, as well as accounting and legal partners, to reduce risk, automate renewals, and ensure good standing.

📋 Description

• Design, build, and own near real-time data pipelines using CDC, streaming ingestion, and event-driven architectures • Evaluate, implement, and maintain vector database infrastructure and embedding pipelines for semantic search, retrieval-augmented generation, and AI agents • Design and build ELT/ETL pipelines ingesting data from platform, financial, CRM, and HRIS systems • Architect the warehouse/lakehouse as a supporting system of record • Build lightweight transformation layers such as dbt for business-ready datasets and core metrics including ARR, CAC, and churn • Own pipeline reliability and observability through monitoring, automated failure alerting, and lineage tracking • Build the technical foundation for self-service and AI-powered reporting • Partner with BI, Product, Engineering, Finance, Marketing, Customer Success, and Operations stakeholders • Implement data governance practices, documentation standards, and access controls • Leverage AI-augmented development workflows to accelerate pipeline development and documentation

🎯 Requirements

• 7+ years of hands-on data engineering experience • Meaningful depth in streaming/event-driven systems • Proven experience designing and building near real-time pipelines from scratch in production • Experience with Kafka, Kinesis, Flink, Debezium/CDC, or similar • Hands-on production experience with vector databases and embeddings • Experience with Zilliz, Pinecone, Weaviate, pgvector, Milvus, or similar • Advanced proficiency in SQL and Python • Working knowledge of Snowflake, BigQuery, or Databricks • Working knowledge of dbt • Experience building or materially contributing to an end-to-end production data environment • Familiarity with B2B SaaS and recurring revenue data models • Working knowledge of BI/reporting tools such as Looker, Tableau, or Power BI • Working knowledge of ELT/ETL tools such as Fivetran or Airbyte • Working knowledge of data observability and reliability practices • Fluency with AI-augmented development tools such as Claude or Copilot • Ability to work independently and drive multi-stakeholder projects in a lean, fast-moving 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