Data Quality Engineer

MediaRadar, Inc.

Data Quality Engineer role at MediaRadar involves building tools for automated data quality checks and monitoring. Responsibilities include integrating checks into pipelines and enhancing data visibility.

Posted 6/24/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Translate authored data rules and quality thresholds into automated, executable quality checks.
Build and maintain data quality monitoring, alerting, and dashboards across governed datasets.
Integrate quality checks into data pipelines, classification workflows, and governance tooling.
Automate detection of rule conflicts, duplicates, and reference data anomalies at scale.
Develop tooling that supports auditors, analysts, and stewards in their day-to-day work.
Instrument human-in-the-loop workflows to capture validation outcomes and quality signals.
Maintain reliable, performant data quality infrastructure and supporting data flows.
Partner with Governance to make rules executable and to close gaps between definition and enforcement.

Requirements

What you’ll need

4–8 years in data engineering, data quality engineering, analytics engineering, or a related field.
Strong programming skills (e.g., Python, SQL) and experience building data pipelines or automation.
Experience implementing automated data quality checks, testing, or monitoring frameworks.
Familiarity with data quality dimensions and how to operationalize them in code.
Comfort working with cloud data platforms, APIs, and governance/quality tooling.
Ability to translate written rules and standards into executable logic.
Exposure to AI/ML-assisted classification and human-in-the-loop systems a plus.
Strong communication skills and a collaborative, enablement-oriented mindset.

Benefits

Comp & perks

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive.
We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative.
We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
A final compensation offer will ultimately be based on the candidate's location, skill level and experience, and the Company's pay equity.
We are also committed to ensuring our recruitment process is accessible to all applicants.
If you need a reasonable accommodation during the application or interview process, please contact us at careers@mediaradar.com.
We’re excited to meet people who share our values and want to build the future with us.

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Hard Skills & Tools

PythonSQLdata engineeringdata quality engineeringanalytics engineeringautomated data quality checksdata pipelinesmonitoring frameworksdata quality dimensionsAI/ML-assisted classification

Soft Skills

strong communication skillscollaborative mindsetenablement-oriented mindset