About the Role
We are seeking a highly analytical and detail-oriented Data QA Engineer to ensure the quality, accuracy, and reliability of data platforms, pipelines, and reporting systems. The ideal candidate has strong SQL expertise, a solid understanding of data engineering concepts, and the ability to independently investigate data issues, validate complex data flows, and support data quality initiatives across the organization.
Key Responsibilities- Validate data accuracy, completeness, and consistency across multiple systems and environments.
- Perform data quality testing for ETL/ELT pipelines, data warehouses, and reporting solutions.
- Design and execute test plans, test cases, and validation strategies for data-centric applications.
- Write complex SQL queries for data validation, reconciliation, and root cause analysis.
- Analyze and troubleshoot data discrepancies across source and target systems.
- Review, understand, and debug Python-based data pipeline code when necessary.
- Collaborate with data engineers, software engineers, analysts, and business stakeholders to ensure data integrity.
- Utilize AI-powered tools to improve testing efficiency, investigation, analysis, and productivity.
- Work independently and take ownership of data quality initiatives throughout the project lifecycle.
- Strong knowledge of relational databases and database concepts.
- Advanced SQL skills with the ability to write complex queries for:
- Data validation
- Data reconciliation
- Root cause analysis
- Data quality investigations
- Experience working with large datasets and optimizing data validation processes.
- Solid understanding of data engineering principles and best practices.
- Experience validating data pipelines and data processing workflows.
- Understanding of ETL/ELT architectures and data movement processes.
- Knowledge of data warehouse concepts and dimensional modeling.
- Familiarity with OLAP technologies and modern cloud data platforms such as Redshift, Snowflake, BigQuery, or equivalent.
- Strong proficiency in Python.
- Ability to read, understand, analyze, and debug data pipeline code.
- Experience using Python for data validation, testing, or data analysis activities.
- Experience utilizing AI tools to improve testing, analysis, and productivity.
- Strong analytical thinking and problem-solving skills.
- Excellent attention to detail.
- Ability to work independently with minimal supervision.
- Strong communication and collaboration skills.
- Experience with data quality frameworks and monitoring tools.
- Experience in testing cloud-based data platforms.
- Knowledge of Apache Airflow, dbt, Spark, or similar data technologies.
- Experience working in Agile/Scrum environments.
- Familiarity with CI/CD practices for data engineering projects.
Send your Resume / CV to apply online
Founded in California in 2004, Codeminders specializes in developing cutting-edge software solutions for high-tech companies in the Silicon Valley of California. Our expertise spans a wide range of industries, with a primary focus on modern technologies such as AI, mobile applications, video conferencing, and cloud computing.
As a member of the Codeminders team, you’ll have the unique opportunity to work on innovative projects. Whether it’s collaborating with dynamic startups or established companies serving millions of users, every project is a chance to shape the future of technology.
Why Codeminders?We believe in empowering our team members with the tools, opportunities, and culture to thrive. Here's what you can expect when you join us:
- Innovation at Its Core: Work on transformative projects that utilize the latest technologies, tools, and methodologies.
- Global Collaboration: Partner with world-class engineers from both the US and Ukraine, fostering diverse perspectives and international exposure.
- Strong Ethical Foundation: We stand firm in our values by maintaining zero business ties with Russia, Belarus, and temporarily occupied Ukrainian territories (Crimea, Donbas, etc.).
We offer a robust package designed to support your professional and personal growth:
- Competitive Compensation: Your salary is based on your qualifications, experience, and performance.
- Exceptional Stability: Enjoy job security and ample opportunities for career progression.
- Professional Development: Access educational programs and certifications to expand your expertise.
- Health & Wellness: Comprehensive support for fitness.
- Flexible Working Environment: Benefit from a fully remote work setup, flexible schedules, and relocation assistance if needed.
- Performance Recognition: Regular bonuses, annual salary reviews, and recognition for your achievements.
- Advanced Equipment Options: Choose the workstation setup that fits your needs, whether a desktop or a laptop.
- Team Building & Community: Participate in regular events that foster collaboration, camaraderie, and innovation.
Skills Required
- Advanced SQL skills for data validation, reconciliation, root cause analysis and investigations.
- Strong proficiency in Python and ability to read, analyze, and debug pipeline code.
- Strong knowledge of relational databases and database concepts; experience with large datasets.
- Solid understanding of data engineering principles, ETL/ELT architectures, and data pipeline validation.
- Familiarity with data warehouse concepts, dimensional modeling, OLAP technologies, and modern cloud data platforms (Redshift, Snowflake, BigQuery, or equivalent).
- Experience utilizing AI-powered tools to improve testing, investigation, and productivity.
- Experience with data quality frameworks, monitoring tools, Airflow, dbt, Spark, or CI/CD for data projects.
- Experience working in Agile/Scrum environments.
What We Do
Ideas are born everyday, and they die just as quickly. That’s because the single hardest part of any new idea is actually going out and doing it. But today, startups and enterprises are running leaner than ever. Talent, quality talent, is in short supply, and development teams have less and less experience working with each other. Weak talent produces weak products, and rookie teams, make rookie mistakes. That’s why we built Codeminders, to provide startups and enterprises with access to our veteran team of experts who working together to turn big ideas into reality. Since 2004, we’ve been partnering with entrepreneurs, startups, and enterprises across the US and EU, from two man teams up to global Fortune 10 companies, collaborating to ship amazing products into the world. Established in Silicon Valley, Codeminders is a passionate, energetic team, split between the US and Eastern Europe. We focus on Big Data, Mobile & Internet of Things, and Web Development. With many complex projects under our belts, we’re a highly specialized, development powerhouse for entrepreneurs, startups, and enterprises. We have purposely designed a company based around our views on partnership, people, and process, and we bring these unique views to every project we take on. If you’re considering a development project, talk to our team. We’ll walk you through a brainstorming session where we can scope your project and explain how Codeminders works. It’s during this meeting that you’ll get a feel for our process and transparency and understand how we can build within your budget.
