Senior QA Engineer, Report Center

Distro; Denver (CO); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health coverage

Learning support

Competitive compensation

Job summary

PrismHR in the United States seeks a QA professional focused on reporting and analytics. You will own quality for reporting dashboards, data pipelines, and analytics tools end to end, designing tests and validating data across ETL processes.

Collaborate with data engineers, product managers, and software developers to define what “correct” means before a feature ships. The role offers a hybrid schedule (8:00 AM–5:00 PM ET, four hours from the office and four hours from home), competitive

Qualifications

• 6+ years of QA focused on reporting or analytics systems.
• Hands-on testing of data warehouses (Snowflake or equivalent).
• Strong SQL; write and run queries against relational databases.
• Experience validating data accuracy across multiple sources and ETL pipelines.
• Ability to perform functional, regression, performance and integration testing.
• Bachelor’s in Computer Science, Information Systems, or related field.

Responsibilities

• Own quality for reporting dashboards, data pipelines, and analytics tools end to end.
• Design test strategy and validate data accuracy across sources and ETL processes.
• Collaborate with data engineers, product managers, and software developers to define what 'correct' means before a feature ships.

Skills

QA Testing

SQL

ETL Testing

Data Warehouse Testing

Data Validation

Regression Testing

Education

Bachelor's degree in CS/IS or related field

Tools

Snowflake

Job description

PrismHR is the HR, payroll, and benefits platform behind employer-services organizations across the US, backed by Vensure Employer Solutions. Our Report Center team builds the reporting and analytics tools our clients rely on to run their business — which means your job isn’t just “does the page load,” it’s “is this number correct.”

You’ll own quality for our reporting dashboards, data pipelines, and analytics tools end to end: designing test strategy, validating data accuracy across sources and ETL processes, and catching the kind of subtle data issue that a functional test would sail right past. You’ll work closely with data engineers, product managers, and software developers to define what “correct” means before a feature ships, not after a client flags it.

You will need:

• 6+ years in QA, with real focus on reporting or analytics systems
• Hands-on testing of data warehouses (Snowflake or equivalent)
• Strong SQL — you write and run your own queries against relational databases
• Experience validating data accuracy across multiple sources, ETL pipelines, and visualization tools
• Comfort with functional, regression, performance, and integration testing
• Bachelor’s in Computer Science, Information Systems, or related field
• Nice to have: Agile/Scrum experience, data modeling exposure, performance testing at scale, payroll or HRIS domain knowledge.

The schedule: 8:00 AM – 5:00 PM Eastern Time, split shift — four hours from our office, four hours from home. No commute for half your day, and your evenings are genuinely yours.

Why this role: two open seats on a team doing work that’s genuinely visible — when reporting is wrong, everyone notices, and when it’s right, you’re the reason. Real path to QA lead as the team grows.

Competitive compensation, health coverage, learning support.

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$0 - $0 a year