Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
PE
Hybrid Data Engineer – Data Architecture, Data Science, Machine Learning
Posted 4 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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