Software Engineer Databricks - Wilmington
Core
Building and productionizing cloud-based ML pipelines, data pipelines, and deploying models in production for finance objectives.
Role type
Senior IC Machine Learning Engineer (MLOps)
Builds
Cloud-based ML pipelines, data pipelines, and productionized models
Domain
Financial services + Machine Learning
Deliverable
production ML models
Required skills
Python, PySpark, Databricks (Delta Lake, Unity Catalog, Workflows), AWS (ECS, EMR, Lambda, EC2, SageMaker), Terraform, Kubernetes, CI/CD, SQL, Oracle, Cassandra
Preferred skills
MLOps practices, TensorFlow, pandas, NumPy, ERWIN, data modeling, query optimization
Technologies
AWS Lambda, CI/CD, Cassandra, Databricks, EC2, Kafka, Kubernetes, MLOps, Oracle, PySpark, SQL, TensorFlow, Terraform, Unity, numpy, pandas
Responsibilities
Write secure, high-quality code in Python/Java; build data pipelines using Databricks ETL; own MLOps workflows and coordinate infrastructure changes with SRE; partner with stakeholders to translate requirements into scalable solutions; mentor engineers and establish engineering standards; apply SDLC tooling and automation to improve delivery speed and reliability.
Seniority
Senior, hands-on IC