Data Engineer
Summary
Build and maintain scalable data pipelines and platforms for analytics and AI in healthcare and public-sector projects using Python, SQL, and cloud tools like AWS/Azure/GCP.
About The Role
Join Accenture's Health & Public Service practice as a Data Engineer and play a critical role in building the data foundations that power analytics, artificial intelligence, and business decision-making. This is a hands-on engineering role focused on designing and delivering scalable, reliable, and production-grade data solutions that enable business outcomes and support digital transformation initiatives.
You will work closely with multidisciplinary teams to build robust data platforms, optimize data flows, and ensure the quality, security, and usability of enterprise data assets.
Key Responsibilities
Design, build, and maintain scalable data pipelines, data stores, and data integration frameworks supporting analytics, reporting, and operational use cases
Develop, optimize, and automate ETL/ELT processes across structured and unstructured data sources
Create and maintain efficient data models and schemas that support performance, scalability, and reusability
Implement data quality, lineage, monitoring, reliability, and security controls throughout the data lifecycle
Collaborate with business stakeholders, analysts, and data scientists to translate requirements into robust and trusted datasets
Monitor and troubleshoot production data workflows, investigate failures, and drive performance improvements
Contribute to deployment automation, testing frameworks, coding standards, and technical documentation
Support continuous improvement of data platform capabilities, engineering practices, and operational excellence
Required Qualifications
Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field
Minimum 2 years of experience in Data Engineering or a closely related role
Strong proficiency in SQL with hands-on experience designing and optimizing data models and schemas
Experience building and maintaining ETL/ELT pipelines from ingestion through transformation and delivery
Strong programming skills in Python for data processing and workflow automation
Experience working with cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
Understanding of data engineering best practices, including performance optimization, testing, and production support
Preferred Qualifications
Experience with Apache Spark or other distributed data processing frameworks
Familiarity with modern data warehousing and data lake architectures
Knowledge of data governance, metadata management, and data security principles
Experience implementing CI/CD practices for data engineering workflows
Exposure to workflow orchestration and monitoring tools
Experience supporting analytics, machine learning, or AI-driven data platforms
About The Company / Team
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Join Accenture's Health & Public Service practice as a Data Engineer and play a critical role in building the data foundations that power analytics, artificial intelligence, and business decision-making. This is a hands-on engineering role focused on designing and delivering scalable, reliable, and production-grade data solutions that enable business outcomes and support digital transformation initiatives.
You will work closely with multidisciplinary teams to build robust data platforms, optimize data flows, and ensure the quality, security, and usability of enterprise data assets.
Key Responsibilities
Design, build, and maintain scalable data pipelines, data stores, and data integration frameworks supporting analytics, reporting, and operational use cases
Develop, optimize, and automate ETL/ELT processes across structured and unstructured data sources
Create and maintain efficient data models and schemas that support performance, scalability, and reusability
Implement data quality, lineage, monitoring, reliability, and security controls throughout the data lifecycle
Collaborate with business stakeholders, analysts, and data scientists to translate requirements into robust and trusted datasets
Monitor and troubleshoot production data workflows, investigate failures, and drive performance improvements
Contribute to deployment automation, testing frameworks, coding standards, and technical documentation
Support continuous improvement of data platform capabilities, engineering practices, and operational excellence
Required Qualifications
Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field
Minimum 2 years of experience in Data Engineering or a closely related role
Strong proficiency in SQL with hands-on experience designing and optimizing data models and schemas
Experience building and maintaining ETL/ELT pipelines from ingestion through transformation and delivery
Strong programming skills in Python for data processing and workflow automation
Experience working with cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
Understanding of data engineering best practices, including performance optimization, testing, and production support
Preferred Qualifications
Experience with Apache Spark or other distributed data processing frameworks
Familiarity with modern data warehousing and data lake architectures
Knowledge of data governance, metadata management, and data security principles
Experience implementing CI/CD practices for data engineering workflows
Exposure to workflow orchestration and monitoring tools
Experience supporting analytics, machine learning, or AI-driven data platforms
About The Company / Team
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.