Senior Quality Assurance Analyst

Posted Yesterday
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Hiring Remotely in State, Laguna de Perlas, Región Autónoma del Atlântico Sur, NIC
Remote
40K-50K Annually
Senior level
Information Technology • Consulting
The Role
Validate enterprise data pipelines and cloud integrations, own data quality and regression testing for cloud data platforms, build/maintain test automation frameworks, perform manual data reconciliation, write complex SQL for schema and integrity checks, validate Salesforce mappings, and integrate automated tests into CI/CD and DevOps pipelines while collaborating with data engineering and cloud teams.
Summary Generated by Built In
Senior Quality Assurance Analyst

Req number:

R7932

Employment type:

Full time

Worksite flexibility:

HybridWho we are

CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are looking for a motivated Senior Quality Assurance Analyst ready to take us to the next level! If you have experience validating enterprise data pipelines and cloud integrations and are looking for your next career move, apply now.

Job Description

We are looking for a Senior Quality Assurance Analyst to validate enterprise data pipelines and cloud integrations while ensuring data integrity across a cloud data platform. This position will be a full-time contract and hybrid role requiring three days onsite and two days remote in Trenton, NJ.

What You’ll Do

  • Own data quality and regression testing for cloud data platforms ensuring seamless data flow and transactional consistency

  • Build and maintain scalable test automation frameworks across data pipelines

  • Perform manual data validation and reconciliation to identify anomalies

  • Write complex SQL queries for data validation schema checks and integrity testing

  • Validate data mapping and transactional consistency between Salesforce and downstream platforms

  • Utilize automated testing tools to support Salesforce environments

  • Integrate automated testing and validation into CI CD and DevOps pipelines

  • Collaborate with data engineering and cloud teams to troubleshoot and resolve issues

What You’ll Need

Required:

  • 7 years of experience in data QA or QA automation

  • 7 years of experience writing advanced SQL queries

  • 7 years of experience in manual backend data validation

  • 3 years of experience with AWS core cloud services

  • 3 years of experience with Snowflake or similar platforms such as Databricks BigQuery or Redshift

  • Experience validating enterprise data pipelines and cloud integrations

Preferred:

  • Experience with dbt data build tool validation

  • Experience with Salesforce data integration

  • Experience with Copado Robotic Testing

  • Experience integrating testing within CI CD pipelines

Physical Demands

  • Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal state and local standards

  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc

  • Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.

EEO Statement

It is the policy of Computer Aid, Inc.(CAI) not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of CAI to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

 

Employees and applicants of CAI will not be subject to harassment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

$40 - $50 per hour

The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Skills Required

  • 7 years of experience in data QA or QA automation
  • 7 years of experience writing advanced SQL queries
  • 7 years of experience in manual backend data validation
  • 3 years of experience with AWS core cloud services
  • 3 years of experience with Snowflake or similar platforms such as Databricks BigQuery or Redshift
  • Experience validating enterprise data pipelines and cloud integrations
  • Experience with dbt data build tool validation
  • Experience with Salesforce data integration
  • Experience with Copado Robotic Testing
  • Experience integrating testing within CI CD pipelines

CAI (cai.io). Compensation & Benefits Highlights

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

  • Retirement Support Retirement contributions and an ownership component are highlighted as standout perks and positioned as a key strength of the package. This is framed as a notable differentiator within the overall offering.
  • Wellbeing & Lifestyle Benefits A wellness program that can reduce medical premiums, an Employee Assistance Program, and active employee resource groups are emphasized. A work-from-anywhere philosophy and flexible scheduling are also presented as quality-of-life benefits when client needs allow.
  • Affordable Benefits The primary medical setup is described as a high-deductible option with low premiums and an HSA contribution, which some view as cost-effective. Wellness participation is stated to further lower monthly premiums.

CAI (cai.io). Insights

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The Company
Chicago, , Illinois
2,689 Employees

What We Do

CAI is a global services firm with over 8,700 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what’s right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise

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