Senior Data Engineer
Addition Wealth
Data Science
United States
Posted on Nov 13, 2025
Overview
At Addition Wealth, we’re on a mission to redefine financial health by making personalized financial expertise inclusive and accessible to everyone. Through innovative technology and meaningful partnerships with leading companies and financial institutions, we empower individuals with robust digital tools, a comprehensive knowledge center, and access to top financial professionals to confidently navigate life’s financial decisions. Our work not only reduces stress and improves productivity but transforms how people think about and manage their money.
We’re not just another financial wellness platform. We are pioneering a revolution in how individuals make financial decisions—leveraging technology to create seamless, impactful, and life-changing experiences. At Addition Wealth, you’ll have the opportunity to solve complex challenges, push the boundaries of what’s possible, and create tools that truly make a difference.
Our impact has been recognized globally. Backed by top fintech VCs including Barclays, Anthemis, and Nyca, Addition Wealth has been named one of Business Insider’s 54 Promising Fintech Companies to Watch, honored with UBS’ Female Founder Award 2023, and selected as a World Economic Forum Top Innovator. We’ve also been featured in Bloomberg, TechCrunch, Insider, Forbes, and other leading publications. Together, we’re building something extraordinary—and we’re just getting started.
About The Role
We are looking for a Senior Data Engineer to help shape and scale Addition Wealth’s data infrastructure. You’ll play a key role in designing, building, and maintaining the systems that power our analytics, personalization, and financial insights. You’ll collaborate closely with product and engineering to ensure that high-quality, reliable data drives every decision we make and every experience we deliver.
What You’ll Work On
- Design, build, and maintain data pipelines and ETL processes to support analytics, reporting, and personalization features.
- Develop and optimize data models and warehousing solutions using Postgres, Snowflake, and modern data lake architectures.
- Build scalable and secure data infrastructure on AWS, leveraging services like S3, Lambda, Glue, Step Functions, ECS, and Matillion.
- Collaborate with engineers to instrument event tracking and data flows from our web applications.
- Partner with business and analytics stakeholders to ensure data quality, consistency, and reliability across systems.
- Improve CI/CD pipelines and infrastructure-as-code setups (Terraform, CloudFormation) for data systems.
- Contribute to data governance, observability, and monitoring strategies to maintain high availability and accuracy.
- Mentor junior engineers and influence the technical direction of Addition Wealth’s data strategy.
What we're looking for
- 5+ years of experience in data engineering or backend engineering with strong data infrastructure focus.
- Deep experience with AWS services (e.g., S3, Lambda, Redshift, Glue, Step Functions) and infrastructure as code tools (Terraform, CloudFormation).
- Strong skills in SQL, data modeling, and ETL pipeline development (Airflow, dbt, or similar).
- Proficiency in a modern programming language (Python, TypeScript, or similar).
- Familiarity with containerization (Docker, Kubernetes) and serverless architectures.
- Understanding of data privacy and compliance in financial or regulated environments is a plus.
- A bias for action — you prefer to launch, learn, and iterate quickly.
- Strong communication skills and the ability to translate complex data needs into actionable engineering work.
- A product mindset — you think about the end-user impact of your systems.
- Experience with Matillion a plus
Our Tech Stack
- Languages: TypeScript (Node.js)
- Frameworks: NestJS, NextJS
- Data & Infra: Postgres, Redshift, Snowflake, Segment, Terraform, AWS, Matillion
Perks & Benefits
- Competitive salary
- 401(k) & Employer Match
- Work from anywhere
- Health insurance & wellness benefits
- Equity compensation
- Generous parental leave
- Unlimited vacation
- Company offsites
- Unlimited access to financial professionals
#LI-Remote
Salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. The salary range reflects the base salary only.