or apply directly on Jobgether's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Jobgether's roles stay open a median of 12 days
- Reposted
- No
- Salary listed
- No 0% of Jobgether's roles list one
- Ghost-job risk at Jobgether
- low 0 stale, 0 reposted of 4,675 open
- Hiring momentum
- 24620 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 Jobgether's own lever board since 2026-08-04. Full hiring picture for Jobgether.
About this role
The Data Engineering Lead - Data Quality Systems will focus on engineering data quality systems to ensure the trustworthiness of billions of records. The role involves hands-on engineering work, leading a small team, and addressing complex data quality challenges in a large-scale production environment. The position emphasizes significant ownership and the opportunity to establish frameworks and standards in an AI-native setting.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 4/5
- 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 Jobgether as an employer.
What you need
- Strong hands-on engineering skills
- Experience in data quality systems
- Technical leadership experience
- Ability to work in large-scale production environments
- Familiarity with verification pipelines, anomaly detection, scoring frameworks, and automated release gates
Worth weighing
- 80% of the role is hands-on engineering, which may limit leadership opportunities
- The role involves tackling complex challenges, which could be demanding
- No specific salary or benefits mentioned
Summarised from Jobgether's posting. Read the full original.
Listed by Jobgether on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.