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Data Quality Engineer

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Design and build the Autonomous Data Quality Control Tower

  • Create AI agents for designing, detecting, impact, resolution and prevention of data quality issues

  • Build AI agents that compare source and target systems to control data quality

  • Orchestrate AI agents for coordinated data quality monitoring

  • Implement automated remediation through AI agents when issues are detected

From the employer’s posting
design and implement an Autonomous Data Quality Control Tower
Create and automate Data Quality AI agents, including DQ Designer, DQ Detective, DQ Impact, DQ Resolution, and DQ Prevention
Develop AI agents to control data quality by comparing source and target systems
Enable orchestration across AI agents to support coordinated data quality monitoring
Implement remediation actions through AI agents when data quality issues are detected

What you’ll bring

All qualifications

Core experience

  • 3+ years in data quality engineering
  • Expertise in data quality, SQL, and Databricks
  • Proficiency in database management
  • Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule
  • Knowledge of Golden Path, Claude, and n8n
Qualification wording
3+ years of experience in data quality engineering
Expertise in Data Quality, SQL, and Databricks
Proficiency in database management
Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule
Knowledge of Golden Path, Claude, and n8n

Tools in this posting

  • SQL
  • Databricks
  • SAP
Source — Tool mentions in context
We are looking for a Data Quality Engineer to design and implement an Autonomous Data Quality Control Tower, building intelligent AI agents that monitor, detect, and resolve data quality issues across enterprise systems. Responsibilities Consult on and create the Autonomous Data Quality Control Tower Create and automate Data Quality AI agents, including DQ Designer, DQ Detective, DQ Impact, DQ Resolution, and DQ Prevention, with associated metrics and data checks Develop AI agents capable of answering key questions such as why quality is changing, what matters to the business, what should happen next, and how to stop recurrence Develop AI agents to control data quality by comparing source and target systems Enable orchestration across AI agents to support coordinated data quality monitoring Implement remediation actions through AI agents when data quality issues are detected Requirements 3+ years of experience in data quality engineering Expertise in Data Quality, SQL, and Databricks Proficiency in database management Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule Knowledge of Golden Path, Claude, and n8n English proficiency at B2 level or higher

Posting record

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Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 202612 days ago
Recorded sightings
14
Last seen by us
Nov 14, 2026
Employer says posted
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 12

Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

EPAM Systems is hiring

673 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

Your next step

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Has EPAM Systems posted this job before?

Yes. We’ve followed 2 other Data Quality Engineer jobs there since November 2026. All 2 are still up.

  1. Place not statedStill up after 12 days, first seen Nov 1
  2. Place not statedStill up after 12 days, first seen Nov 1
  3. This jobUp 12 days so far, first seen Nov 1

About EPAM Systems

People
About 3,012 in 2024.Benefit plan filings (Form 5500)
Company
Listed as EPAM.
H-1B visas
21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

We are looking for a Data Quality Engineer to design and implement an Autonomous Data Quality Control Tower, building intelligent AI agents that monitor, detect, and resolve data quality issues across enterprise systems. Responsibilities Consult on and create the Autonomous Data Quality Control Tower Create and automate Data Quality AI agents, including DQ Designer, DQ Detective, DQ Impact, DQ Resolution, and DQ Prevention, with associated metrics and data checks Develop AI agents capable of answering key questions such as why quality is changing, what matters to the business, what should happen next, and how to stop recurrence Develop AI agents to control data quality by comparing source and target systems Enable orchestration across AI agents to support coordinated data quality monitoring Implement remediation actions through AI agents when data quality issues are detected Requirements 3+ years of experience in data quality engineering Expertise in Data Quality, SQL, and Databricks Proficiency in database management Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule Knowledge of Golden Path, Claude, and n8n English proficiency at B2 level or higher
Source details

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