Big Resourcing
Location: Remote – India (UK Working Hours)
Job Type: Full-Time
Company: BigRio
About BigRio
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.
Job Description We are seeking a highly skilled and detail-oriented
QA Engineer
with strong experience in
ETL testing
and
HL7 validation
to join our growing data engineering team. This role will focus on
data pipeline testing , ensuring data accuracy, quality, and integrity as it moves across systems and services in a healthcare-focused environment.
Key Responsibilities
Design, develop, and execute test plans and test cases for ETL processes and data pipelines.
Validate data transformations, data integrity, and completeness across source and target systems.
Conduct end-to-end testing of HL7 messages and healthcare data flows.
Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.
Automate QA processes wherever feasible using appropriate scripting and tools.
Perform root cause analysis and ensure timely defect resolution.
Ensure compliance with data quality standards and healthcare regulations.
4+ years of experience in QA with a focus on
ETL/data pipeline testing .
Hands-on experience with
HL7 message formats
and healthcare data exchange.
Strong understanding of data warehousing concepts, data mapping, and validation techniques.
Proficient in writing complex SQL queries for data validation.
Experience working with large datasets in a cloud or hybrid environment.
Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).
Strong communication and documentation skills.
Nice to Have
Experience with cloud data platforms like AWS, Azure, or GCP.
Prior experience in the healthcare or life sciences domain.
Knowledge of FHIR standards or healthcare interoperability.
Equal Opportunity Statement BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
BigRio is a leading AI, Gen AI, Data and Analytics professional services company. We are focused on Healthcare, Pharma, Digital Health, Provider, and Payer Industry segments with several innovative solutions.
Harvard Square, One Mifflin Place Suite 400 Cambridge, MA 02138
#J-18808-Ljbffr
Job Description We are seeking a highly skilled and detail-oriented
QA Engineer
with strong experience in
ETL testing
and
HL7 validation
to join our growing data engineering team. This role will focus on
data pipeline testing , ensuring data accuracy, quality, and integrity as it moves across systems and services in a healthcare-focused environment.
Key Responsibilities
Design, develop, and execute test plans and test cases for ETL processes and data pipelines.
Validate data transformations, data integrity, and completeness across source and target systems.
Conduct end-to-end testing of HL7 messages and healthcare data flows.
Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.
Automate QA processes wherever feasible using appropriate scripting and tools.
Perform root cause analysis and ensure timely defect resolution.
Ensure compliance with data quality standards and healthcare regulations.
4+ years of experience in QA with a focus on
ETL/data pipeline testing .
Hands-on experience with
HL7 message formats
and healthcare data exchange.
Strong understanding of data warehousing concepts, data mapping, and validation techniques.
Proficient in writing complex SQL queries for data validation.
Experience working with large datasets in a cloud or hybrid environment.
Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).
Strong communication and documentation skills.
Nice to Have
Experience with cloud data platforms like AWS, Azure, or GCP.
Prior experience in the healthcare or life sciences domain.
Knowledge of FHIR standards or healthcare interoperability.
Equal Opportunity Statement BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
BigRio is a leading AI, Gen AI, Data and Analytics professional services company. We are focused on Healthcare, Pharma, Digital Health, Provider, and Payer Industry segments with several innovative solutions.
Harvard Square, One Mifflin Place Suite 400 Cambridge, MA 02138
#J-18808-Ljbffr