Data Engineer

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description POSITION: Senior Associate, reporting to Associate Director - Engineering, will play an essential role in designing, developing, and maintaining scalable data pipelines and data infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data systems are efficient, reliable, and capable of supporting complex analytical queries. Your role will involve a mix of hands-on technical work and strategic planning to support the organization's data needs. To be successful as a Senior Data Engineer at Eversana, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages and learning machine methods. Responsibilities: - Design, build, and maintain scalable data pipelines that facilitate the flow of data into machine learning models. - Collaborate with data scientists to ensure the availability of high-quality, preprocessed data for model training. - Deploy machine learning models to production using tools such as TensorFlow Serving, MLflow, or Seldon. - Monitor and maintain the performance of machine learning models in production, identifying and addressing issues like data drift or concept drift. - Work with large datasets, both batch and real-time, using frameworks like Apache Spark, Apache Kafka, and AWS Glue. - Implement and manage data versioning and experiment tracking using tools like DVC and MLflow. - Ensure data integrity and quality through validation and profiling techniques Qualifications Requirements: - Proficiency in Python and SQL; experience with Scala or Java is a plus. - Strong experience with Apache Spark, Apache Kafka, and other data processing frameworks. - Experience deploying machine learning models using TensorFlow Serving, MLflow, or similar tools. - Familiarity with data lakes and data warehouses (AWS S3, Google BigQuery, Snowflake). - Experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes. - Understanding of machine learning workflows and collaboration with data scientists and ML engineers. - Strong knowledge of ETL processes, batch and real-time data processing, and orchestration tools (e.g., Apache Airflow) Qualifications Bachelor’s degree in engineering, Technology, or Computer Science - 1+ years of relevant industry experience (Healthcare, Pharmaceutical Consulting, Enterprise level data-analytical solutio Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter