or apply directly on 66degrees's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days 66degrees's roles stay open a median of 22 days
- Reposted
- No
- Salary listed
- No 0% of 66degrees's roles list one
- Ghost-job risk at 66degrees
- moderate 6 stale, 7 reposted of 35 open
- Hiring momentum
- 64 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from 66degrees's own greenhouse board since 2026-08-03. Full hiring picture for 66degrees.
About this role
As a Senior QA Engineer at 66degrees, you will lead the quality assurance efforts for complex data engineering pipelines on Google Cloud Platform. Your role involves designing and implementing testing strategies, executing data quality frameworks, and collaborating with data engineers to ensure the reliability and performance of data systems. You will also mentor junior team members and engage in CI/CD automation to enhance testing processes.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of 66degrees as an employer.
What you need
- 5+ years in QA or software testing, including focused on data pipelines/data warehouses
- Proficient in complex SQL and writing data validation queries
- Strong experience with GCP data tools: dbt, BigQuery, Dataflow, Dataproc, Cloud Run, Spanner, AlloyDB, Cloud SQL
- Hands-on with data-quality frameworks: Great Expectations, Soda Core, dbt-utils, dbt-expectations
- Familiarity with database emulators and test environment provisioning
- CI/CD automation experience (Jenkins, GitLab CI, GitHub Actions)
Nice to have
- GCP Professional Data Engineer certification
- Experience enhancing dbt tests with dbt-utils and dbt-expectations
- Knowledge of BigQuery data-quality services like Dataplex
- Proficient with observability tooling (Cloud Logging, Elementary Data)
- Familiarity with data governance, lineage, and compliance validation
Worth weighing
- No salary listed
- No mention of remote work options
- No benefits or perks explicitly stated
- The role requires a strong focus on GCP tools and data pipelines, which may limit exposure to other technologies
Summarised from 66degrees's posting. Read the full original.
Listed by 66degrees on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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