Quality Assurance (QA Engineer)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quality Assurance (QA Engineer) Hyderabad, , India Company Description: CREATIVITY IS OUR SUPERPOWER. It's our heritage and it's also our future. Because we don't just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard-when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. The Team: Job Description: The Opportunity: Key Responsibilities Validate consumer identity, profile, behavioral, and transactional data across all layers of the data platform, from source systems through curated analytics datasets. Perform end-to-end dataset comparisons to ensure consumer-level records, counts, and attributes remain consistent as data moves through ingestion and transformation layers. Reconcile consumer metrics and KPIs displayed in Tableau and ThoughtSpot dashboards against upstream source and warehouse tables. Test ETL/ELT pipelines that ingest and transform consumer data, including events, purchases, interactions, and engagement signals. Validate business logic related to consumer attribution, segmentation, and aggregation rules used in analytics. Conduct row-level, aggregate-level, and trend-based testing to identify issues such as duplication, data loss, mis-joins, or incorrect consumer rollups. Partner with data engineers and analytics teams to investigate and resolve consumer data quality issues. Create reusable test plans, validation checklists, and reconciliation queries for consumer analytics datasets. Document test cases, validation

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