Manager, Data Engineering
NateraAbout the role
LOCATION:
This will be a hybrid role (2 days a week) working out of our San Carlos, CA location.
POSITION SUMMARY:
Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D Operations Data Science is to support R&D activities at Natera through data analytics and software tool development to optimize workflows and processes.
As a Data Engineering Manager on the team, you will lead the design, development, and deployment of scalable data infrastructure, backend services, and software tools that enhance operational efficiency in R&D. Your role will focus on implementing new processes, optimizing data workflows, and developing software solutions to support R&D initiatives. You will work independently and cross-functionally, collaborating with R&D, data science, software engineering, and DevOps teams to build and maintain high-performance data pipelines, APIs, and cloud-based solutions. Additionally, you will manage a team of engineers, ensuring best practices in data engineering, cloud infrastructure, DevOps, and frontend integration.
RESPONSIBILITIES:
Data Engineering & Backend Development
- Lead the design and implementation of scalable data pipelines for ETL, data ingestion, and data transformation.
- Develop and deploy REST APIs and microservices using FastAPI (or similar Python frameworks).
- Implement and manage high-performance caching layers using Redis and Elasticsearch.
- Oversee data migration, data replication, and integration across multiple systems.
- Ensure data quality, governance, and reliability in engineering workflows.
DevOps & Cloud Infrastructure
- Design and maintain CI/CD pipelines using GitLab CI/CD for automated deployments.
- Deploy and manage services on AWS cloud infrastructure (EC2, Fargate, Lambda, S3, RDS, etc.).
- Implement containerization and orchestration using Docker and Kubernetes.
- Monitor and optimize system performance, logging, and alerting for production workloads.
- Implement strategic cost optimization initiatives of cloud infrastructure.
Software Development & Tooling
- Develop custom software tools to optimize R&D workflows and process automation.
- Work with stakeholders to identify pain points and design engineering solutions that improve efficiency.
- Implement data visualization tools and dashboards to improve operational insights.
Frontend & Data Visualization
- Design and implement user-friendly data interfaces for internal R&D teams.
Leadership & Strategy
- Manage and mentor a team of data engineers.
- Drive best practices for code quality, testing, and documentation.
- Identify and implement new tools and technologies to improve data workflows and software development processes.
- Collaborate with cross-functional teams to align engineering efforts with R&D objectives.
QUALIFICATIONS:
- 5+ years of experience in data engineering, backend development, and DevOps.
- Strong programming skills in Python.
- Knowledge of data pipelines, ETL processes, and database management.
- Expertise in microservices and REST API development (FastAPI preferred).
- Strong experience with AWS services (EC2, Fargate, Lambda, S3, RDS, etc.).
- Proficiency in CI/CD automation using GitLab CI/CD.
- Experience with containerization (Docker, Kubernetes).
- Familiarity with infrastructure-as-code (Terraform, CloudFormation).
- Familiarity with React.js for frontend integration.
- Excellent problem-solving and leadership skills.
NICE TO HAVE:
- Experience with streaming data processing (Kafka, Spark, etc.).
- Experience with workflow orchestration tools (Apache Airflow)
- Knowledge of data governance and security best practices.
- Hands-on experience with Redis, Elasticsearch, and data caching strategies.
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard
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