2 Soda Jobs

Senior QA Engineer Job Summary We are seeking a Senior QA Engineer to join our Data Engineering team, responsible for ensuring the integrity, quality, and reliability of our enterprise-scale data pipelines and analytics solutions. You will play a critical role in shaping our data quality strategy, building automated testing frameworks, and leading QA efforts across complex data initiatives. This role requires deep experience with testing large-scale data processing systems, excellent SQL skills, and a proactive mindset toward identifying data quality issues before they impact the business Key Responsibilities Define and lead the end-to-end QA strategy for data engineering initiatives, ensuring high data accuracy, completeness, and reliability. Develop and maintain automated data validation frameworks to test batch and streaming data pipelines. Conduct in-depth testing of ETL/ELT processes, transformations, and data integration logic using SQL and scripting languages. Build reusable data quality rules and monitoring dashboards using tools like Great Expectations or similar. Collaborate with cross-functional teams including data engineers, data scientists, DevOps, and business stakeholders to validate business logic and data lineage. Identify gaps in data QA practices and drive improvements in processes, tooling, and documentation. Own and enhance test suites integrated into CI/CD pipelines for data products. Provide mentorship to junior QA engineers and contribute to best practice sharing across teams. Participate in code reviews and offer recommendations on data testing approaches and design. Required Qualifications Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 8+ years of experience in data-centric QA roles, with a focus on large-scale data platforms and pipelines. Expert-level SQL skills; capable of writing complex joins, aggregations, and validation logic. Strong hands-on experience with data integration tools like Talend, Informatica, Apache Airflow, or DBT. Proficiency in Python or other scripting languages used for data validation and test automation. Familiarity with modern cloud data platforms (e.g., Snowflake, Redshift, Databricks, BigQuery). Experience with CI/CD tools and integration of automated data tests into deployment workflows. Proven track record of leading QA efforts on cross-functional data initiatives Preferred Qualifications Experience with data observability and quality tools (e.g., Great Expectations, Monte Carlo, Soda). Exposure to big data ecosystems (Spark, Kafka, Hive, etc.). Knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation). ISTQB, DataOps, or similar QA certifications. Background in testing BI/reporting layers or semantic models (e.g., Tableau, Looker, Power BI). Soft Skills Strong leadership and ownership mindset. Ability to communicate complex data quality issues to both technical and non-technical audiences. Comfortable working in a fast-paced, agile environment with evolving priorities. A passion for data excellence and continuous quality improvement. About Convera Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs. Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, results-oriented people who are looking to move fast in an innovative environment. As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging. We offer an abundance of competitive perks and benefits including: Competitive salary Opportunity to earn an annual bonus. Great career growth and development opportunities in a global organization A flexible approach to work There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments. Apply now if youre ready to unleash your potential. Show more Show less

Summary We are seeking a motivated and detail-oriented Data Quality Engineer to join our team and contribute to ensuring the accuracy, completeness, and reliability of our data. In this role, you will be responsible for implementing data quality checks, monitoring data quality, and identifying and resolving data quality issues. Experience with SODA (or similar data quality frameworks) is preferred. Responsibilities Implement and maintain data quality checks and validations using various tools and techniques. Develop and execute data quality test plans and test cases. Automate data quality processes, including data profiling, data quality checks, and reporting. Contribute to the implementation and maintenance of data quality frameworks and tools. (Preferred) Utilize SODA (or similar frameworks) to define data quality checks, configure data sources, and generate data quality reports. Collaborate with data engineers, data analysts, and other stakeholders to ensure data quality requirements are met. Communicate data quality issues and findings to relevant stakeholders. Investigate and analyze data quality problems to determine root causes. Show more Show less