
Data Engineer
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Job Description: Senior Associate, Data Engineering
EVERSANA seeks a Senior Associate, reporting to the Associate Director - Engineering, to play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate with data scientists, analysts, and stakeholders to ensure efficient, reliable data systems that support complex analytical queries. This role involves hands-on technical work and strategic planning to meet the organization's data needs. Success requires strong analytical skills, the ability to integrate data from various sources, proficiency in multiple programming languages, and familiarity with machine learning methods.
Responsibilities:
- Design, build, and maintain scalable data pipelines to support machine learning model data flow.
- Collaborate with data scientists to provide high-quality, preprocessed data for model training.
- Deploy machine learning models to production using tools like TensorFlow Serving, MLflow, or Seldon.
- Monitor and maintain the performance of production machine learning models, addressing issues such as data drift or concept drift.
- Work with large batch and real-time datasets using frameworks like Apache Spark, Apache Kafka, and AWS Glue.
- Implement and manage data versioning and experiment tracking with tools like DVC and MLflow.
- Ensure data integrity and quality through validation and profiling.
Qualifications:
- Proficiency in Python and SQL; experience with Scala or Java is advantageous.
- 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 (Docker, 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).
- Bachelor’s degree in engineering, technology, or computer science.
- 1+ years of relevant industry experience in Healthcare, Pharmaceutical Consulting, or Enterprise-level data-analytical solutions.
About EVERSANA's Cultural Beliefs:
- Patient Minded
- Client Delight
- Take Action
- Grow Talent
- Win Together
- Communication Matters
- Embrace Diversity
- Always Innovate
EVERSANA is committed to Diversity, Equity & Inclusion and is an Equal Opportunity Employer. We celebrate differences and believe diverse perspectives drive innovation and success in improving patient lives.
Company
EVERSANA
About EVERSANAEVERSANA is a certified Great Place to Work globally, dedicated to creating a healthier world. Our team of over 7,000 professionals provides next-generation commercialization services to...