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Senior Staff Data Engineer

1 month ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Airflow AWS dbt Go Kafka Machine Learning Python Snowflake SQL TypeScript
Apply Now
Nitrogen Wealth

Nitrogen Wealth

Nitrogen Wealth, formerly known as Riskalyze, is a growth and engagement platform for advisors in the wealth management industry. It offers a comprehensive client engagement platform that helps advisors grow their assets under management, streamline cl...

Capital Markets
51-250
Founded 2011
$24M raised
View All Jobs 2

Description

  • Lead the design and evolution of data systems that move, transform, and expose data across the platform.
  • Build and scale ingestion pipelines from external financial partners.
  • Develop and maintain APIs and services that support data integrations and downstream product experiences.
  • Own data flows end to end, from raw ingestion through warehouse standardization to API and production-system consumption.
  • Shape the data layer that supports internal analytics and customer-facing product functionality.
  • Champion data governance, industry best practices, and efficient processing techniques.
  • Identify and address technical debt and developer experience gaps across data and service layers.
  • Provide architectural leadership to ensure scalable, resilient, high-quality implementations.
  • Mentor and elevate fellow engineers through technical guidance and knowledge sharing.
  • Align technical contributions with company objectives and long-term maintainability.

Requirements

  • 10+ years of hands-on experience in data engineering and production-grade workflow development.
  • Expert-level SQL and Python experience, especially in Snowflake and dbt.
  • Experience designing reliable, production-grade data workflows and parsing or normalizing messy real-world data.
  • Experience building and operating CDC systems that sync data into and out of warehouses.
  • Experience building or integrating APIs and services.
  • Familiarity with tools such as DMS, OpenFlow, Airflow, Kafka, Debezium, and S3, or similar technologies.
  • Experience designing scalable data and AI systems across RDBMS, data warehouses, NoSQL, and graph databases.
  • Experience with modern AI architectures such as agentic workflows, RAG, agent context and memory, and tools like MCP, LangChain, and LangGraph.
  • Experience beyond core data tooling, such as backend services, APIs, or full-stack systems; Go or TypeScript is a strong plus.
  • Strong technical leadership experience, including mentoring, speaking internally or at conferences, and solving difficult technical problems.
  • Experience with agentic AI developer tools such as Claude Code, Devin, or Cursor.
  • Experience with ML systems or ML engineering pipelines is a strong plus.

Benefits

  • $180k-$200k base salary plus annual bonus target.
  • 4% 401(k) match.
  • Free financial planning services.
  • Comprehensive medical, dental, and vision insurance, with HSA or FSA options depending on the medical plan.
  • Generous maternity and paternity leave for birth or adoption.
  • Discounted pet insurance.
  • 3 weeks of vacation and 1 week of sick time per year.
  • 11 paid company holidays per year.
  • Remote and in-person team-building activities, plus employee development support including leadership training, mentorship, and industry resources.

Interested in this position?

Apply directly on the company website

Apply Now

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