1

Data Qa Engineer Seasonal Jobs (NOW HIRING)

... and data strategies • Provide regular status updates to project team on QA progress • ... Engineers on artifact procedure issues uncovered • Works with QA Manager on enhancing test ...

Bachelor's degree in Computer Science, Information Technology, or a related field. * 2-4 years of experience in data engineering, database QA, or a related role. * Strong foundational knowledge of ...

New

Engineering Team Lead Location: Remote - Hybrid, Columbia, MD Hours Per Week: Full-Time, Exempt (40 ... and data-driven understanding of regional public health concerns. The Quality Assurance (QA) ...

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Lead Quality Assurance Engineer

Phoenix, AZ · On-site

$128K/yr

The Lead Quality Assurance Engineer will lead the design, development, and implementation of ... Test Design, Execution & Data Validation * Design, develop, and maintain test scenarios, test cases ...

Lead Quality Assurance Engineer

Phoenix, AZ · On-site

$128K/yr

The Lead Quality Assurance Engineer will lead the design, development, and implementation of ... Test Design, Execution & Data Validation * Design, develop, and maintain test scenarios, test cases ...

OR · On-site

As a QA Engineer , you'll join the Partner Programs & Portfolio Management project, the engine ... You'll ensure that new features and platform changes - from data ingestion pipelines and ...

QA Engineer Onsite in Foster City, CA 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Lead Quality Assurance Engineer

Phoenix, AZ · On-site

$128K/yr

The Lead Quality Assurance Engineer will lead the design, development, and implementation of ... Test Design, Execution & Data Validation * Design, develop, and maintain test scenarios, test cases ...

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Bachelor's degree in Computer Science, Information Technology, or a related field. * 2-4 years of experience in data engineering, database QA, or a related role. * Strong foundational knowledge of ...

New

One of our direct client is urgently looking for a QA Engineer @ Sunnyvale CA TITLE: QA Engineer ... data pipeline and ETL process -Work on SQL query performance tuning -Handle DataProc Hive job ...

next page

Showing results 1-20

Data Qa Engineer Seasonal information

See salary details

$44.5K

$129.7K

$177.5K

How much do data qa engineer seasonal jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data qa engineer seasonal in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Data Qa Engineer Seasonal jobs? Cities with the most Data Qa Engineer Seasonal job openings:
What are the most commonly searched types of Data Qa Engineer jobs? The most popular types of Data Qa Engineer jobs are:
What states have the most Data Qa Engineer Seasonal jobs? States with the most job openings for Data Qa Engineer Seasonal jobs include:

Senior QA Automation Engineer - Enterprise Data & Analytics Platform

Priwils

Adelphi, MD • On-site

Full-time

Posted 6 days ago


Job description

Role Summary:
We are seeking a highly skilled and self-directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director - Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.
Key Responsibilities:
  • Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers.
  • Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.
  • Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.
  • This will be a hybrid role at University Boulevard East Adelphi, Maryland 20783, 1-2 days a week
  • Design metadata-driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.
  • Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.
  • Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.
  • Own the end-to-end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign-off criteria are met.
  • Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.
  • Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.
  • Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.
  • Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback.
  • Drive defect triage, resolution, and retesting, ensuring readiness for production release.
  • Work within a SAFe Agile framework, participating in PI planning, sprint ceremonies, and cross-team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines.
  • Provide regular updates to project and senior management on progress of QA milestones and tasks.
Required Skills & Expertise:
  • Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.
  • Proficient in creating testing framework for validating Data Quality.
  • Proficient in Databricks notebook, PySpark, Python, SQL, and data quality testing.
  • Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.
  • Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.
  • Strong knowledge of data governance (data lineage, audit trails, compliance testing).
  • Excellent problem-solving skills with the ability to work in a fast-paced environment.
  • Experience with tools such as Azure Purview and Profisee MDM is preferred.