Senior Healthcare Analytics Engineer — Data Integration

🏢 ABOUT THE COMPANY

Aetna is a multinational healthcare company founded in 1853 in the United States, with operations in the United Kingdom since 1993. Our mission is to make a meaningful difference in our customers' lives by delivering essential health and financial services, including health insurance, pharmacy benefit management, medical imaging services and health information technology. With over 39 million members in the United States, Aetna is one of the largest health insurers in the US. We pride ourselves on our commitment to quality and excellence, and our strong values of integrity, compassion, and innovation have led to numerous accolades and awards. Aetna is a great place to work due to its supportive and inclusive culture, and opportunities for growth and development.

🎯 ROLE OVERVIEW

As a Senior Healthcare Analytics Engineer, you will play a critical role in the design and implementation of data integration and analytics solutions to support our business operations. You will work closely with cross-functional teams to understand business requirements, design and develop data pipelines, and implement and maintain data visualization tools. You will report to the Director of Data Engineering and contribute to the development of the team. Your expertise will help improve the quality and speed of data-driven insights, enabling business leaders to make informed decisions.

📋 KEY RESPONSIBILITIES

Design and implement data integration pipelines using industry-standard tools and technologies such as AWS Glue, Apache Beam, and Apache NiFi. Develop and maintain data warehouses, data marts and data visualization tools such as Tableau, Power BI and Looker. Collaborate with Data Scientists to develop and deploy machine learning models and predictive analytics. Design and implement data governance policies and procedures to ensure data quality and compliance with regulatory requirements. Develop and maintain documentation of data flows, data lineage and data quality metrics. Participate in on-call rotations and provide support for critical production issues. Develop and maintain knowledge of emerging industry trends and technologies.

✅ REQUIRED QUALIFICATIONS

9+ years of experience in data engineering and analytics. Strong background in data integration, data warehousing and data visualization. Proficient in programming languages such as Python, Java and Scala. Experience with cloud-based data platforms such as AWS, Azure and GCP. Strong understanding of data governance and compliance regulations. Certified Data Engineer or related certification. Bachelor's degree in Computer Science, Mathematics, Statistics or related field.

⭐ PREFERRED QUALIFICATIONS

Master's degree in Computer Science, Mathematics, Statistics or related field. Experience with cloud-based data processing frameworks such as Apache Beam and Apache Flink. Experience with data governance and compliance regulations such as GDPR and HIPAA. Certified Data Scientist or related certification. Experience with Agile development methodologies.

💰 WHAT WE OFFER

This is a contractor position with a salary range of £55,000 - £80,000 per annum based on experience. We offer a competitive benefits package including health insurance, a retirement plan, and a generous vacation policy. You will also have access to a £2,000 learning and development budget per annum and a flexible remote work policy. Our team culture is collaborative and inclusive, with a strong focus on innovation and continuous learning. We offer opportunities for growth and development, with regular career progression and professional development.

👥 ABOUT THE TEAM

Our team consists of 10 data engineers and analysts who work closely together to design and implement data integration and analytics solutions. We have a strong collaborative culture and value open communication, continuous learning and innovative thinking. We have recently developed and deployed a data warehouse solution that has improved data-driven insights by 30% and reduced data latency by 50%. We are looking for a Senior Healthcare Analytics Engineer to join our team and help us continue to drive business growth and innovation.

📨 HOW TO APPLY

To apply for this position, please submit your resume and a cover letter detailing your experience and qualifications. We expect to conduct interviews within 2 weeks of receiving applications, with a start date of 6 weeks thereafter.

📋 Job Details

📨 How to Apply

Submit your updated CV and a brief cover letter to Aetna. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.