Experienced Senior Data Engineer – Cloud-Based Data Pipeline Development and Information Architecture

About Aetna

Aetna, a leading healthcare company, is committed to transforming the healthcare experience for its members, customers, and communities. With a rich history of innovation and a passion for delivering exceptional care, Aetna is a dynamic and forward-thinking organization that values collaboration, creativity, and a commitment to excellence. As a Senior Data Engineer, you will play a critical role in shaping the future of healthcare data management and analytics, working closely with cross-functional teams to design and implement cutting-edge data pipelines and information architectures.

Job Summary

We are seeking an experienced Senior Data Engineer to join our team, responsible for designing, developing, and maintaining large-scale data pipelines and information architectures that support business and information science needs. As a key member of our data engineering team, you will work closely with data scientists, analysts, and other stakeholders to develop and implement data solutions that drive business value and improve patient outcomes.

Key Responsibilities

* Design and develop large-scale data pipelines to collect, process, and normalize data from various sources, ensuring data quality and accessibility. * Collaborate with data scientists and analysts to develop and implement data models, algorithms, and statistical models to support business and information science needs. * Develop and maintain ETL (Extract, Transform, Load) processes, data set frameworks, and tools for continuous and batch data processing. * Work with cross-functional teams to integrate data and analytics into business processes, improving decision-making and patient outcomes. * Develop and maintain data stores and data models to support information science and other internal clients. * Ensure data quality and accessibility by incorporating data from various sources, adhering to data quality and openness standards. * Investigate current data technology landscapes to identify and evaluate key capabilities and recommend solutions. * Explore new tools and technologies to determine the best approach given the requirements directed by the model/use case.

Essential Qualifications

* Bachelor's degree in Computer Science, Information Technology, or related field. * 5+ years of relevant work experience in data engineering, data architecture, or related field. * 5+ years of experience with SQL, Python, and cloud-based platforms (GCP, AWS, or Azure). * Strong communication, decision-making, and critical thinking skills.

Preferred Qualifications

* 5+ years of experience with Hadoop, Hive, or PySpark. * Experience with data visualization tools (e.g., Tableau, Power BI). * Experience with healthcare industry data is a plus.

Career Growth Opportunities and Learning Benefits

As a Senior Data Engineer at Aetna, you will have opportunities to: * Develop and implement cutting-edge data solutions that drive business value and improve patient outcomes. * Collaborate with cross-functional teams to integrate data and analytics into business processes. * Work with experienced data scientists and analysts to develop and implement data models, algorithms, and statistical models. * Participate in training and development programs to enhance your skills and knowledge in data engineering, data architecture, and related areas. * Contribute to the development of Aetna's data engineering and data architecture capabilities, shaping the future of healthcare data management and analytics.

Work Environment and Company Culture

Aetna is a dynamic and forward-thinking organization that values collaboration, creativity, and a commitment to excellence. Our work environment is fast-paced and challenging, with opportunities to work on high-impact projects that drive business value and improve patient outcomes. We offer a range of benefits, including: * Competitive salary and bonus structure. * Comprehensive health insurance and wellness programs. * Retirement savings plan with company match. * Paid time off and holidays. * Opportunities for professional development and growth.

Compensation, Perks, and Benefits

We offer a competitive salary and bonus structure, as well as a range of benefits and perks, including: * $50/hour salary. * Comprehensive health insurance and wellness programs. * Retirement savings plan with company match. * Paid time off and holidays. * Opportunities for professional development and growth.

How to Apply

If you are a motivated and experienced data engineer looking for a challenging and rewarding opportunity, please apply through our website. We look forward to hearing from you! Apply for this job