AI Data Engineer

Acumen USA is actively seeking a highly experienced and dedicated Data Engineer with a strong background in the healthcare industry to join our dynamic team. This is a 100% remote opportunity, offering the flexibility to work from anywhere while contributing to impactful projects. As a pivotal member of our engineering team, you will be instrumental in designing, building, and maintaining robust data pipelines and infrastructure that power critical healthcare solutions. We are looking for a visionary data professional who can translate complex data requirements into scalable and efficient data engineering solutions.

This role offers an exciting chance to leverage your extensive data engineering expertise within the vital healthcare sector, working with large, sensitive datasets to drive meaningful insights and improve patient outcomes. If you are passionate about data, have a proven track record in healthcare data environments, and thrive in a remote work setting, we encourage you to apply and help us shape the future of healthcare data at Acumen USA.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL processes for complex healthcare datasets, ensuring high performance and reliability.
• Build and maintain robust data warehousing solutions, dimensional models, and data marts to support analytics, reporting, and machine learning initiatives.
• Collaborate closely with data scientists, analysts, and product managers to understand data requirements and deliver efficient data solutions.
• Ensure data quality, integrity, and security across all data platforms, implementing best practices for data governance and compliance within healthcare regulations.
• Monitor and troubleshoot data infrastructure, identifying and resolving performance bottlenecks and data-related issues proactively.
• Implement automation for data processes, improving operational efficiency and reducing manual intervention.
• Evaluate and recommend new data technologies and methodologies to enhance our data platform capabilities and stay ahead in the evolving data landscape.

Requirements

• A minimum of 10 years of professional experience in a Data Engineer role, with a significant portion of this experience in the healthcare domain.
• Proven expertise in designing and implementing complex ETL/ELT processes and data integration strategies.
• Strong proficiency in SQL for data manipulation, querying, and database management, with experience in large-scale data environments.
• Extensive experience with cloud data platforms such as AWS, Azure, or GCP, including services like S3, Redshift, Glue, EMR, or equivalent.
• Solid understanding of data warehousing concepts, data modeling (star schema, snowflake schema), and database design principles.
• Proficiency in at least one scripting or programming language commonly used in data engineering, such as Python.
• Experience with big data technologies like Apache Spark, Hadoop, or similar distributed processing frameworks is highly desirable.
• Demonstrated ability to work independently and collaboratively in a fully remote team environment.
• Excellent problem-solving skills and the ability to work with ambiguous requirements in a fast-paced setting.

What We Offer

• A 100% remote work environment, providing exceptional flexibility and work-life balance.
• The opportunity to work on challenging and impactful data engineering projects within the critical healthcare sector.
• A collaborative and supportive team culture that values innovation and continuous learning.
• Exposure to cutting-edge data technologies and methodologies.
• A chance to significantly contribute to the development of robust data solutions that drive real-world improvements in healthcare.