Data Engineer

Job Responsibilities

Develop and maintain scalable microservice architectures and RESTful APIs for ML Ops.
Support production ML pipelines for deep learning models and LLMs.
Investigate, debug, and resolve operational issues in data/ML services.
Implement Infrastructure as Code using Terraform within AWS.
Contribute to the packaging and CI/CD processes for Python-based polyrepos.
Participate in the team on-call rotation (8 am – 6 pm ET, Mon–Fri).

Edit Job Responsibilities

Requirements

Strong experience in SWE, SRE, or DevOps roles with a focus on ML Ops
Proven experience with microservice architecture and RESTful API development
Hands-on knowledge of Terraform and AWS infrastructure
Familiarity with CI/CD pipelines (e.g., GitLab, Jenkins) and Python packaging
Comfortable working with large-scale data pipelines and orchestration tools (e.g., Airflow)
Strong problem-solving and debugging skills.Edit Requirements

Main Technologies
Edit Main Technologies
Technologies will be a Plus

Additional Comments

This is a senior-level remote contractor role (E3-E4) supporting ML model enablement
infrastructure in a high-impact healthcare data environment.

The comments after call with customer:

Role Summary
The position is on the Machine Learning Enablement (MLE) team, which focuses on ML
Ops to support machine learning pipelines used by data science teams.
No prior knowledge of machine learning or data science is required.
The team is composed entirely of software engineers without ML backgrounds.
Technical Stack and Requirements
Primary responsibilities include:
Infrastructure setup and operational support
Debugging and resolving issues in logs and pipelines
Supporting migration and maintenance projects (e.g., Vault to AWS Secrets Manager)
Technologies and tools used:
Terraform (required)
Python (primary programming language)
GitLab CI/CD (current), Jenkins (legacy)
Artifactory (for storing Python artifacts)
Databricks (compute layer)
AWS services (including Bedrock)
Airflow (orchestration; helpful but not required)
Technologies not used:
AWS CloudFormation
AWS SageMaker

Where to Apply

You can apply by clicking the button below:

Data Engineer

Company

Contact

Subscribe