Data Quality Engineer
Job Location
Full time
Published By
Publisher Name
Type of Job
Full Time
Published Date
18 May 2026 at 6:30:00 am
About the job
We are seeking a highly skilled Data Quality Engineer to join our fast-paced Agile team in Morris Plains, New Jersey. In this role, you will bridge the gap between software quality assurance, data engineering, and cloud deployment. You will collaborate closely with product owners, stakeholders, and developers to design automated testing pipelines, evaluate REST APIs, protect data integrity, and support deployments. If you are passionate about shift-left testing, API security, and transforming raw data into high-value business decisions, we want you on our team.
Requirements
Core Responsibilities
Agile Collaboration & Analysis:Partner with clients, Technical Product Owners, and Scrum teams to identify target product features.
Execute comprehensive requirement analysis alongside developers to design highly efficient technical solutions.
Fully engage in all standard Scrum ceremonies and continuous improvement initiatives.
Test Strategy & Automation:Identify complex test scenarios and design robust test scripts for thorough feature validation.
Conduct early unit testing using JUnit within development environments to ensure code behaves as intended.
Build, maintain, and execute end-to-end UI and API automation test suites in the QA environment.
API & Security Engineering:Execute detailed security testing protocols tailored specifically for REST APIs.
Conduct performance and load testing on REST APIs to ensure high availability and speed.
Cloud Deployment & Operations:Deploy validated application code directly to production environments using Pivotal Cloud Foundry (PCF) platforms.
Actively monitor production environments to quickly catch, log, and troubleshoot live infrastructure issues.
Data Governance & Leadership:Sync with data engineers and business analysts to proactively discover, address, and prevent data quality errors.
Provide active mentorship and technical guidance to incoming engineering team members.
Mitigate risks by resolving active data quality incidents and finding structural ways to improve overall business data value.
Required Skills & Qualifications
Experience: Minimum of 6+ years of progressive, post-baccalaureate experience in software quality assurance, data engineering, or a closely related technical role.
Education: Bachelor's degree (or foreign equivalent) in Computer Science, Information Technology, Computer Engineering, or a closely related technical field.
Testing Frameworks: Proven hands-on experience with JUnit for unit testing, alongside established UI and API automation tools.
API Testing Expertise: Deep knowledge of REST API testing, specifically including specialized performance, stress, and security testing.
Cloud Platform Experience: Practical experience handling application deployments and service monitoring on Pivotal Cloud Foundry (PCF) or similar cloud systems.
Data Literacy: Familiarity with data validation practices and working alongside data engineering pipelines to identify data anomalies.
Agile Methodologies: Solid background working within an active Scrum framework and navigating fast sprint cycles.
Soft Skills: Excellent communication skills to interact with clients or stakeholders, paired with a natural passion for mentoring peers.
Benefits
Awesome work environment and opportunity to work with great minds.
Work in fun teams on projects that impact millions of people.
100% reimbursement for all job/growth related courses you complete on Udemy.
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