Advisor360

Senior Data Quality Engineer

Needham, MA · Senior

No sponsorship$134k-$156kDetected 17 days ago

PythonGitSQLMySQLSnowflakeCI/CDRESTdbtData EngineeringAgilePostmanTest AutomationProblem Solving

About the role

It's not just the tech (though it's best-in-class).
It's the people, the purpose, and the passion behind everything we do.
This role is hybrid, requiring three days per week onsite in our Needham, MA headquarters.

At Advisor360°, we build technology that transforms how wealth management firms operate, scale, and serve their clients.
We're a team of builders, thinkers, and doers who believe that great companies are defined by the stories they tell and the experiences they create-internally and externally.
This role partners closely with Data Engineering, Software Engineering, Product, and Business teams to define testing strategies, build scalable automation solutions, and drive quality best practices across the organization.
Lead QA efforts across software and data engineering initiatives.
Design, develop, and maintain automated test frameworks and regression suites.
Validate ETL/ELT pipelines, data transformations, and data warehouse solutions.
Develop automated data quality checks and reconciliation processes.
Perform end-to-end testing of APIs, applications, and data products.
Lead troubleshooting, root cause analysis, and issue resolution activities.
We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included.

5+ years of experience in Quality Engineering, Data Quality Engineering, or Software Testing.
Strong experience with SQL, database testing, and data validation.
Experience testing ETL/ELT processes, data transformations, and cloud data platforms.
Experience with data quality/observability tools like Monte Carlo, Sifflet Strong programming skills in Python and test automation frameworks.
Experience testing REST APIs using tools such as Postman and Swagger.
Familiarity with GitHub, Bitbucket, and CI/CD pipelines.
Experience using AI-assisted development and testing tools such as Copilot and Augment.
Experience leading QA initiatives and driving quality best practices.
Knowledge of Agile/Scrum methodologies.
Advisor360 ° provides an estimate of the compensation for roles that may be hired as required by state regulations.

Our compensation package includes competitive base salaries, annual performance-based bonuses, and the chance to share in the equity value you and your colleagues create during your time with the company.
We offer comprehensive health benefits, including dental, life, and disability insurance.
We also trust our employees to manage their time effectively, which is why we offer an unlimited paid time off program to help you perform at your best every day.
The estimated base salary range for this position is $134,000 - $156,000 + bonus & equity.
The salary, other forms of compensation, and benefits information is accurate as of the date of this posting.
Collaborate with engineers to ensure adequate test coverage and quality throughout the development lifecycle.

We bring deep industry expertise, a collaborative spirit, and a commitment to innovation as we reshape what's possible in wealth management.
As we grow, we're looking for teammates who are ready to roll up their sleeves, think big, and help elevate our brand in a way that reflects the bold ambitions we have for our company and the clients we serve.
Join us, and be part of a company that's not only moving fast-but making it count.
The way we see it, we are here to learn from each other.
While we are interested in qualified applicants who are permanently eligible to work for any employer in the United States, we are unable to sponsor or take over sponsorship for employment visas at this time.

ed in qualified applicants who are permanently eligible to work for any employer in the United States, we are unable to sponsor or take over sponsorship for employment visas at this time

This listing is sourced directly from Advisor360's careers page and normalized into a canonical job model.