Data Quality Engineer

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October 17

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Case IQ

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SaaS • Compliance • Security

Case IQ is a leading provider of case management software designed to aid modern investigation teams. The platform offers multi-channel intake, configurable workflows, and advanced analytics to help organizations across various industries handle cases efficiently. With a focus on ethics and compliance, HR, fraud, and security cases, Case IQ leverages AI-powered tools to streamline investigations and ensure confidentiality. The software is adaptable to meet specific organizational workflows, improving productivity and mitigating risks. Trusted by professionals in education, energy, financial services, government, healthcare, and more, Case IQ is committed to supporting its clients in creating a safer workplace environment.

51 - 200 employees

☁️ SaaS

📋 Compliance

🔐 Security

📋 Description

• Ensure the quality (accuracy, completeness, timeliness) of Continuous Monitoring customer data • Run, monitor, and troubleshoot Apache Airflow data pipelines • Leverage Apache Spark to design and implement scalable data processing pipelines, ensuring efficient handling of large datasets and high data quality • Implement and maintain data validation frameworks using Great Expectations • Write SQL queries to analyze data for various quality conditions • Develop and maintain Python-based data ingestion pipelines and automated test scripts • Debug issues and conduct exploratory testing to identify root cause of issues • Implement test plans and create test scenarios and test cases • Report defects and issues identified during the test process using a defect tracking system (Jira) • Attend daily stand-ups to report on testing progress and identify and impediments • Prioritize and implement multiple activities in parallel • Engage in peer reviews, requirements, code, design, and tests • Take ownership of the quality of the product, reproduce customer issues, and perform root cause analysis for test escapes • Work with developers to capture root causes and supporting artifacts (e.g., logs)

🎯 Requirements

• Graduate of a university or college program in mathematics, computer science, programming, or engineering, or equivalent work experience • 3+ years of experience in data engineering or data quality roles • Proficiency in diagnosing data quality issues in SQL-like data warehouses • Proficiency in solving data problems using Python as a primary language or through Python-based frameworks • Experience with Apache Airflow or a similar Python orchestration tool • Experience with Great Expectations or similar data validation tools • Preferred experience in software quality assurance • Preferred experience with CI/CD pipelines • Preferred experience working with GitHub • Strong interpersonal skills and ability to work effectively in a team environment • Well-organized, result-oriented, self-motivated, collaborative • Strong ability to prioritize tasks, troubleshoot problems, and resolve issues

🏖️ Benefits

• Work remotely within a flexible work environment (our team spans the US and Canada) • Competitive company-paid benefits plan starting day 1! • Generous professional development budget • RRSP/ 401k matching program • Half-day Fridays in the summer