Job Title: Data Quality Engineer – Cloud & Automation Focus
Location: Virtual (Preferably East Coast)
Schedule: M-F, 9am–5pm EST
Join a leading global company in the healthcare and life sciences space, working on cutting-edge cloud data platforms and automation frameworks.
Important Note:
This is a remote role but client is preferring only folks located in Eastern States.
This role focuses on testing and ensuring the quality of complex cloud-based data pipelines, unlike a normal tester who typically works on application UI or functional testing.
About this Role:
- This role is focused on ensuring the quality, accuracy, and integrity of large and complex data sets within cloud-based environments. The primary responsibilities involve designing, developing, and executing automated and manual tests for data pipelines, databases, and applications using tools like Python, SQL, and Snowflake.
- The engineer will work to validate data processing, integration, and transformation across multiple sources, while also participating in the development of automation frameworks and CI/CD pipelines.
- In essence, the role combines data engineering knowledge with quality assurance practices to verify that data is reliable, consistent, and meets business and technical requirements.
About the Role:
Our client is seeking a Data Quality Engineer to ensure the accuracy, integrity, and reliability of data in their cloud-based systems. The engineer will design, develop, and execute automated and manual tests for data pipelines, databases, and applications, while contributing to automation frameworks and CI/CD practices.
Top 3 Must Have Skills:
- Total Overall Testing experience (10 yrs preferred)
- AWS & Snowflake – data access and services (5 years)
- Python & SQL – code and test development (5 years)
- Testing methodologies and automation frameworks (8 years)
Key Responsibilities:
- Test and validate large datasets across Snowflake, AWS, and other cloud data sources.
- Develop scripts and automation using Python, SQL, and testing frameworks (e.g., Pytest, Great Expectations).
- Collaborate with the team to ensure data quality, regression, performance, and operational monitoring.
- Participate in CI/CD pipeline integration and testing.
Required Skills:
- Strong experience with Python, SQL, Snowflake, and AWS.
- Hands-on experience in data testing, automation frameworks, and large dataset validation.
- Knowledge of APIs, Git/GitHub, Linux, and CI/CD pipelines.
Nice to Have:
- Experience with Airflow, dbt, performance testing, and cloud orchestration tools.
Qualifications:
- Bachelor’s degree in Computer Science or related field (or equivalent experience).
- Strong analytical, collaboration, and communication skills.
- Why This Role:
- This is a chance to work with a leading client in cloud data engineering, enhance automation testing skills, and directly impact data quality and business insights.
