Senior Test Engineer

Sorry, this job was removed at 10:20 a.m. (UTC) on Friday, Sep 11, 2026
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7 Locations
In-Office
Senior level
Artificial Intelligence • Consulting
The Role
Develop and execute test strategies for data engineering and analytics solutions. Design test cases, perform SQL-based data validation, test ETL and ELT pipelines, verify analytical outputs, manage defects, conduct root cause analysis, and support automation. Collaborate with data engineers, business analysts, product owners, and business users to ensure data accuracy, quality, and production readiness.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Role Summary

Mandatory:
SQL, Data Validation, ETL/Data Pipeline Testing, Test Strategy & Planning, Test Case Design, Data Analytics, Automation Testing, Stakeholder Collaboration, Defect Management.
Key Responsibilities
  • Test Strategy & Planning
Define and implement comprehensive test strategies for data engineering and analytics solutions.
Develop test plans, test approaches, and validation frameworks aligned with project objectives and business requirements.
Identify testing scope, risks, dependencies, and mitigation plans.
Ensure appropriate test coverage across functional, integration, system, regression, and data validation testing.
  • Test Design & Execution
Analyze business requirements and data specifications to create detailed test scenarios and test cases.
Execute functional, integration, regression, and user acceptance support testing activities.
Validate data transformations, calculations, aggregations, and business rules across data pipelines.
Ensure testing activities align with defined quality standards and acceptance criteria.
  • Data Validation & Analytics Testing
Perform extensive SQL-based data validation and reconciliation across source and target systems.
Validate data accuracy, completeness, consistency, and integrity throughout the data lifecycle.
Verify KPIs, metrics, reports, dashboards, and analytical outputs against business expectations.
Analyze large datasets to identify anomalies, inconsistencies, and quality issues.
  • ETL/Data Pipeline Testing
Test end-to-end ETL and ELT processes across data ingestion, transformation, and consumption layers.
Validate data movement across multiple systems and platforms.
Ensure data pipelines process information according to defined business and technical requirements.
Test error-handling, exception management, and data recovery scenarios.
  • Defect Management & Root Cause Analysis
Identify, document, track, and manage defects throughout the testing lifecycle.
Perform detailed root cause analysis for data discrepancies and functional issues.
Collaborate with development and data engineering teams to resolve defects efficiently.
Verify fixes and support regression testing activities.
  • Automation & Continuous Improvement
Identify opportunities to automate repetitive testing and data validation activities.
Contribute to the development and maintenance of automated test suites and validation frameworks.
Recommend improvements to testing processes, methodologies, and tools to increase efficiency and coverage.
Support quality engineering best practices and continuous testing initiatives.
  • Stakeholder Collaboration
Work closely with Business Analysts, Data Engineers, Product Owners, and business users to understand requirements and expected outcomes.
Participate in requirement reviews, solution discussions, and testing workshops.
Communicate testing progress, risks, defects, and quality metrics to stakeholders.
Support user acceptance testing and production readiness activities.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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Skills Required

  • SQL
  • Data validation
  • ETL and data pipeline testing
  • Test strategy and planning
  • Test case design
  • Data analytics
  • Automation testing
  • Stakeholder collaboration
  • Defect management

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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