Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
PE
Hybrid Data Engineer – Data Architecture, Data Science, Machine Learning
Posted 5 months ago
About the role
- Senior Data Engineer architecting and optimizing database solutions supporting data science workflows. Collaborating with data scientists for efficient research, training, and deployment of algorithms.
Responsibilities
- Design and maintain scalable, high-performance database solutions to support data science workflows and ML experimentation
- Partner with data scientists to understand data access patterns and develop storage strategies that accelerate analysis and model training
- Serve as the internal subject matter expert on PostgreSQL —including schema design, indexing, partitioning, and query optimization
- Evaluate and integrate alternative database technologies (e.g., MongoDB, Neo4j, Redis, Cassandra) where they provide clear advantages
- Lead efforts to optimize data pipelines for both structured and unstructured data used in algorithm development
- Ensure data integrity, security, and governance across storage systems
- Implement monitoring, automation, and performance-tuning tools for all database environments
- Advise on data lifecycle management—balancing accessibility for R&D with efficiency and compliance requirements
Requirements
- 5+ years of experience in data engineering, database architecture, or related technical roles
- Expert-level proficiency in PostgreSQL (query tuning, schema design, indexing, partitioning, replication)
- Strong understanding of data modeling, normalization vs. denormalization tradeoffs, and query optimization
- Experience with non-relational databases (e.g., MongoDB, Cassandra, Neo4j, Redis, or DynamoDB)
- Familiarity with machine learning workflows and how data is consumed for training, evaluation, and deployment
- Experience with cloud database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Database)
- Proficiency in SQL and one or more scripting languages (Python preferred)
- Excellent communication and collaboration skills
Benefits
- Comprehensive medical, dental, and vision coverage
- Robust retirement plans
- Substantial paid time off which includes holidays, vacation and sick time
- 75% tuition discount, available to employees as well as eligible spouses and children
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