Sr Data Engineer

Alt; New York, Tempe, San Francisco (NY, AZ, CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive Salary

Hybrid in the NYC Office

Medical, Dental, Vision insurance

Life Insurance (Basic)

Parental Leave

Equity via Carta

401k with Match

Flexible PTO

Holiday leave

Estate planning for life

Job summary

Wealth.com is seeking a Senior Data Engineer to own our data platform end-to-end. You will manage pipelines, dbt models, and the Redshift warehouse, ensuring reliability and scalable data solutions for internal stakeholders.

You'll partner with Platform engineers to accommodate evolving data models, and you'll guide the data architecture while balancing cost and performance. The role is hybrid with our NYC office and emphasizes ownership and impact.

Qualifications

• 4+ years in data engineering, analytics engineering, or a closely related role
• Strong SQL and Python for data processing and pipelines
• Hands-on experience with dbt and orchestrating production pipelines (Airflow)
• Working knowledge of AWS and a cloud data warehouse (Redshift)
• Good instincts for warehouse and system design
• Ability to translate stakeholder requirements into code and explain decisions clearly

Responsibilities

• Own the data platform end-to-end: pipelines, Airflow, dbt, and Redshift
• Ensure reliability and trust in data; diagnose and fix pipeline issues
• Ingest data from diverse sources, clean and model it for downstream use
• Contribute to data architecture decisions, warehouse design, scalability and cost
• Coordinate with Platform team to align data models with engineering plans

Skills

SQL

Python

dbt

Airflow

AWS

Redshift

Tools

dbt

Airflow

Redshift

AWS

Job description

About Us:

Wealth.com is the industry's leading estate planning platform, empowering more than 1,000 wealth management firms to modernize the delivery of estate planning guidance to their clients. As the only tech-led, end-to-end platform built specifically for financial institutions, Wealth.com enables firms to drive scale, efficiency, and measurable client impact. Trusted by some of the largest names in finance, Wealth.com combines proprietary AI, robust security, and deep technological and legal expertise to serve the full range of client needs, from foundational plans to the most sophisticated estate strategies. The company has been widely recognized for innovation and leadership, winning Top Estate Planning Technology and Top Estate Planning Implementation at the 2025 WealthManagement.com Industry Awards, being named the 2024 Best Technology Provider in the Trust category, and earning #1 in estate planning market share in the 2025 Kitces AdvisorTech Study.

Our team is fundamental to our standing as the leading estate planning platform. We cultivate a collaborative and supportive environment, fostering innovation and making Wealth.com a truly enjoyable workplace. Wealth.com is proud to be certified as a Great Place to Work for 2025.

The Opportunity:

Every number at Wealth.com, from product usage to finance reporting to what we show our executive team, runs through our data platform. We're hiring the first dedicated Senior Data Engineer to own it.

This is a true ownership role. You'll take responsibility for our AWS data infrastructure, our dbt project, our Redshift warehouse, and the pipelines and Airflow environment that connect them. You won't inherit a mature, fully staffed function. You'll help decide what good looks like and then build it.

You'll join a team of analysts and engineers who rely on this platform every day, and you'll work closely with our Platform engineers so that when product data models change, the data platform is ready for it. Your stakeholders are mostly internal, so you'll see the impact of your work quickly and hear about it directly.

What You'll Own:

• The data platform end to end. Our pipelines, Airflow environment, dbt, and Redshift warehouse are yours to design, operate, and improve.

• Reliability and trust in the data. When a pipeline breaks or a number looks wrong, you're the person who finds the cause and makes sure it doesn't happen again.

• The path from messy source to clean warehouse. You'll bring data in from many sources, clean it, model it, and make it easy for others to use.

• Our data architecture decisions. You'll weigh in on warehouse design, scalability, and cost, and write down why we chose what we chose.

• The bridge with Platform. You'll stay ahead of upstream data model changes and make sure data and analytics have a voice in major engineering decisions.

What to Expect:

• First 30 days: Get to know our stack, our stakeholders, and where the data platform is today. Ship something small and real.

• First 90 days: Take on day-to-day ownership of pipelines and dbt, and be the person people go to with data infrastructure questions.

• First year: Leave the platform more reliable, better documented, and easier to build on than you found it, with a clear direction for where it goes next.

• What the work looks like: A mix of building new pipelines, hardening existing ones, and partnering with stakeholders to turn a business question into a system that answers it. We're in the middle of moving onto Airflow, so you'll help carry that through.

• What the team is like: Small, collaborative, and low on process. Your priorities will come from the business, not a ticket queue, and you're expected to drive your own work.

What We're Looking For:

You're a data engineer who likes owning the whole problem. You've worked on small teams where you ended up responsible for many pieces of the stack, and ideally you've also seen what a well-run data organization looks like at a more mature, scaled company. You write real Python and real SQL, and you care about whether the thing you built is still working next month.

Specifically:

• 4+ years in data engineering, analytics engineering, or a closely related role, including at least 2 years at a company operating at meaningful scale

• Strong SQL and Python, with Python used for data processing and pipeline work

• Hands-on experience with dbt and with orchestrating production pipelines (Airflow or similar)

• Working knowledge of AWS and a cloud data warehouse (we use Redshift)

• Good instincts for warehouse and system design

• The ability to turn a stakeholder's requirements into code and systems, and to explain your decisions clearly

Nice to Have:

• Experience moving pipelines onto Airflow or a similar orchestrator

• Experience in fintech, wealth management, or other regulated environments (compliance, audit, PII handling)

• Experience with document processing or AI/ML data pipelines

Benefits & Perks:

• Competitive Salary.

• Hybrid in the NYC Office (3x a week)

• Excellent Medical, Dental, and Vision insurance options, with low-cost premium structures that demonstrate our commitment to offering great value to our employees.

• 100% Company Paid Basic Life Insurance, Short Term and Long Term Disability

• 100% Paid Parental Leave upon eligibility

• Company equity managed through Carta.

• 401k with Match and 100% vesting upon hire.

• Flexible PTO in an environment where taking time off to relax or recharge is supported and encouraged.

• Take time off for holidays— and yes, your birthday counts too. Celebrate, relax, and recharge without thinking twice.

• Free estate planning for life!