Job Details

WHAT WE DO

Nitrogen has been revolutionizing how financial advisors and wealth management firms engage with their clients since the launch of Riskalyze in 2011. Today, Nitrogen offers an integrated client engagement software platform featuring risk tolerance, proposal generation, investment research, and financial planning tools designed to help firms and financial advisors deliver personalized advice. We invented the Risk Number®, built on top of a Nobel Prize-winning academic framework, and are the champions of the Fearless Investing Movement — tens of thousands of financial advisors are committed to our mission of empowering the world to invest fearlessly.

Nitrogen is an equal opportunity employer. We encourage people from underrepresented groups to apply. We are committed to being fair and intentional in our hiring decisions by reviewing every application thoroughly.

THE TEAM

Our Data and Services Team empowers the world to invest fearlessly by leveraging AI tools and deep technical expertise to build robust data pipelines and products that power advisors and their firms across the wealth management industry.

WHAT YOU'LL BE WORKING ON

As a Senior Staff Data Engineer on the Data & Services team, you'll lead the design and evolution of the systems that move, transform, and expose data across our platform. This includes building and scaling our data ingestion pipelines from external financial partners, maintaining APIs and services that support those integrations, and shaping the data layer that powers internal analytics and downstream products. You'll work across teams to ensure our data infrastructure is resilient, well-modeled, and built for long-term maintainability.

The Senior Staff Data Engineer:

• Advances Nitrogen's data processing capabilities with your extensive expertise in building large-scale, modern data platforms.
• Owns the successful delivery of daily data feeds that standardize raw data from numerous sources into our warehouse, and export fresh datasets out to production systems.
• Champions good data governance, industry best practices, and efficient processing techniques.
• Delivers high-quality, production-grade features, and reliably meets commitments.
• Sets a high bar for technical productivity and efficiency through expert use of AI and cutting-edge tools.
• Provides architectural leadership to ensure scalable designs and code quality.
• Maintains a deep understanding of what our domain-specific data means to our customers and their product experience.
• Proactively identifies and addresses technical debt and developer experience needs, and advocates for AI-enhanced solutions where appropriate.
• Mentors and elevates the technical skills of fellow engineers.
• Demonstrates a continuous improvement mindset in both personal development and all technical workflows.
• Ensures your technical contributions align with company objectives and expectations.

Requirements

• Experience. You bring 10+ years of hands-on experience in data engineering, building reliable pipelines and production-grade workflows.
• Data Engineering. You're an expert hand at writing optimized SQL & Python in Snowflake & dbt. You have seen it all when it comes to data parsing and cleansing bad data, and production-grade workflow design is second nature.
• Data Pipeline Infrastructure. You've built and operated CDC systems syncing data into and out of warehouses. You have extensive experience with tools like DMS, Airflow, Kafka, Debezium, S3, or similar.
• Deep Technical Expertise. You go far beyond the surface level of knowing how to use data tools. You know how data engines and pipelines work inside and out, and can troubleshoot the most difficult issues that stump your peers.
• AI Tools. You're rapidly adopting the latest in Agentic AI developer tools to supercharge your productivity and impact. If your prior exposure in this area is light, get ready to buckle up and dive in! We use Devin and Cursor heavily here, and are always looking for the best of breed tools for our teams.
• Technical Leadership. Can I say it? You are generally the smartest person in the room that everyone turns to for advice and getting past the most challenging hurdles. You've given tech talks internally or at conferences. You actively mentor others, reduce knowledge silos, and raise the team's overall capability.
• Machine Learning. Experience with ML algorithms and ML engineering pipelines is a major plus. We're building toward an exciting future of data insight products that leverage our vast market data in wealth management.

The expected compensation range for this role is a $200k-$250k.

Lesser experience may result in lower compensation and greater experience may result in greater compensation than the stated range.

Benefits

Financial Benefits & Perks

• 4% 401(k) Match. Our employees invest so much in our company and we love getting to invest in them. The company will match your contributions dollar-for-dollar, up to 4% of your total annual compensation.
• Free Financial Planning Services. By working at a financial technology company, you get the benefit of fantastic financial advice. This is offered to all employees wanting expert guidance on how to handle their money.

Health & Family

• Medical, Dental & Vision insurance plans. We want to help keep you (and your family) healthy! Comprehensive health insurance options for you & your family.
• Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA) available depending on chosen medical plan. We know that investment risk isn't a one-size-fits all and neither are your health savings options!
• Generous maternity & paternity leave for either the birth or adoption of a child. Mom's & Dad's need time with their new family members!
• Discounted pet insurance available. Pets are family too!!

Time Away & Culture

• 3 weeks vacation & 1 week sick time per year.Take the time you need for fun or simply time to recover from not feeling well.
• 11 paid company holidays per year. Enjoy your time off; you deserve it!
• Remote & in-person team building activities help our employees stay connected and engaged. We absolutely love to hype our people up!
• Company wide meetings held by our CEO benefit all employees by keeping everyone in the loop. We are one team, and we tackle projects together.
• Employee development is our priority. From leadership training, to mentorship, to industry resources, we care about progressing you in your career.

WANT TO KNOW MORE?

While you can learn a lot from a job description, you may have more questions, and that's totally okay! We encourage all individuals interested in working at Nitrogen to learn more about us by checking us out on our website and social media platforms: