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New
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New
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New
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$13.62 - $20.46
1% of jobs
$20.46 - $27.31
0% of jobs
$27.31 - $34.15
2% of jobs
$34.15 - $40.99
5% of jobs
$40.99 - $47.84
11% of jobs
$49.85 is the 25th percentile. Wages below this are outliers.
$47.84 - $54.68
18% of jobs
The median wage is $58.25 / hr.
$54.68 - $61.53
24% of jobs
$66.76 is the 75th percentile. Wages above this are outliers.
$61.53 - $68.37
18% of jobs
$68.37 - $75.21
13% of jobs
$75.21 - $82.06
5% of jobs
$82.06 - $88.90
3% of jobs
$13
$60
$88
Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.
A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.
To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Role: Seasonal Automation QA (Playwright, Python, SQL)
Experience: - Min 8+ Years
Location: - Irving, TX (Hybrid 3 days WFO)
Looking for a Seasonal Automation QA with expertise in Playwright (UI/API), Python, Cypress, and SQL-driven ETL validation, responsible for building scalable test frameworks, ensuring end-to-end quality, and integrating automation into CI/CD pipelines.
Roles and Responsibilities
Design, develop, and maintain automation frameworks using Playwright (JavaScript/Python) Build scalable automated test scripts for UI, API, and end-to-end testing Perform ETL/data validation testing to ensure data accuracy across source and target systems.
Write complex SQL queries for data verification and backend validation Collaborate with developers, data engineers, and product teams to ensure quality throughout SDLC Integrate automation suites into CI/CD pipelines (Azure DevOps/GitHub/Jenkins)
Drive test strategy, test planning, and defect management Ensure coverage for functional, regression, and performance scenarios Mentor junior QA engineers and promote automation best practices
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Strong experience in Playwright automation (UI & API testing) Proficiency in Python scripting (preferred) or JavaScript/TypeScript
Hands-on experience with SQL (complex joins, aggregations, validation queries)
Solid understanding of ETL processes and data testing methodologies Experience with API testing (REST, JSON, Postman/Playwright)
Familiarity with CI/CD pipelines and version control (Git) Strong knowledge of test frameworks, design patterns, and QA best practices
Preferred Skills
Experience with cloud platforms (Azure/AWS) Exposure to data platforms like Databricks, Snowflake, or Synapse Knowledge of performance testing tools Experience working in Agile/Scrum environments Soft Skills Strong analytical and problem-solving skills Good communication and stakeholder management Ability to work in a fast-paced, delivery-driven environment'
Mandatory Skills QA Automation, Python, SQL, Playwright
VeeRteq Solutions is an Equal Opportunity Employer
Sourced by ZipRecruiter
Marketing
11 - 50 Employees
Portland, OR, US
2012