UST · 16 hours ago
Data Quality Engineer
United States
Full-time
Remote
Mid Level
4+ years expUST is a mission-driven company that transforms lives through technology. The Data Quality Engineer is responsible for building, operating, and improving automated data quality and observability controls across operational systems and analytics platforms, focusing on preventing and diagnosing data issues before they impact decision-making or AI/ML models.
ConsultingInformation ServicesInformation Technology
Responsibilities
Design, implement, and maintain automated data quality and observability monitors using Monte Carlo
Configure monitoring for: o Data freshness, volume, and schema changes o Distribution shifts and statistical anomalies o Upstream/downstream impact using lineage
Embed data quality checks into ingestion, transformation, and analytics pipelines Data Quality for Operations & Analytics
Implement quality controls for operational and analytical datasets, including: o Critical data elements (CDEs) o Curated analytics and semantic layers o Reporting, metrics, and KPI datasets
Investigate data quality s and perform root cause analysis using lineage and pipeline context
Partner with analytics and engineering teams to remediate issues and prevent recurrence Data Quality for AI & Advanced Analytics
Apply data observability to AI and ML pipelines, including: o Monitoring training and inference data for drift and anomalies o Validating feature stability and data consistency
Support early detection of data issues that could impact model performance, reliability, or explainability
Qualification
Required
4+ years of experience in data engineering, analytics engineering, or data quality roles
Strong SQL skills and experience working with large, complex datasets
Hands-on experience implementing or operating Monte Carlo or similar data observability platforms
Experience working with modern data stacks (cloud data warehouses/lakehouses, ELT pipelines, BI tools)
Strong analytical skills and ability to perform root cause analysis across data pipelines
Preferred
Experience supporting data quality for AI/ML or advanced analytics use cases
Familiarity with data lineage, data catalogs, or governance platforms
Experience in regulated or high-risk data environments (financial services, healthcare, etc.)
Exposure to CI/CD or automated testing patterns for data pipelines
Benefits
Fourteen (14) days of vacation beginning on the date of hire
Vacation premium
Ten (10) paid holidays
A Christmas Bonus of thirty (30) days’ pay
Monthly Food Vouchers
Saving Fund
Health insurance
Dental, disability and life insurance plans
Four (4) days of personal time off per year
Up to three (3) days of paid medical leave per year
Up to three (3) days of paid bereavement leave per year
Company
UST
UST is a Digital Transformations Solutions Provider.
10001+ employees
H1B Sponsorship
UST has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (870)
2024 (800)
2023 (647)
2022 (634)
2021 (612)
2020 (984)
Funding
Current Stage
Late StageTotal Funding
$250MKey Investors
Temasek Holdings
2018-06-27Private Equity· $250M
Leadership Team
Krishna Sudheendra
CEO
Alexander Varghese
Chief Administrative Officer & COO
Recent News
Orange County Business Journal
2026-01-24
2026-01-20
Company data provided by crunchbase