Senior Growth Data Scientist
Tilt
AWSPythonSQL
Data Ops Engineer
N1 Health
full-time
Posted on:
Origin: • 🇺🇸 United States • Massachusetts, New York
Visit company websiteSalary
💰 $70,000 - $90,000 per year
Job Level
JuniorMid-Level
Tech Stack
AWSCloudLinuxPythonSQL
About the role
- We are seeking a skilled and motivated Data Ops Engineer to join our Technology Enabled Service Delivery function. Manage the broad complexity of healthcare data and create scalable solutions to deliver to end users. As a client-facing engineer, work on teams of data scientists, project managers, and expert staff to manage and understand client data. Own data specifications, schema design, data pipelines, and ML pipelines for these teams using Python, SQL and CLI tools to maintain, automate and scale your solutions. Build new tools that drive innovation for delivering consistent and reliable results, add value to your N1 teams and clients, and communicate with stakeholders about how best to deploy them to drive meaningful healthcare outcomes.
Requirements
- Bachelor's degree or education in computer science/related field
- 0-2 years of prior software engineering experience
- Proficiency in Python and SQL, or demonstrated ability to learn new languages quickly
- Proficiency using GitHub for collaborative development
- Familiarity with Agile product development, and tools such as Jira, Confluence, etc.
- Excellent troubleshooting and debugging skills
- Experience working with AWS/Athena or similar cloud computing platforms (a plus)
- Familiarity with Linux/CLI tools (a plus)
- Candidates must be authorized to work in the United States without the need for current or future sponsorship.
Similar jobs on JobTailor
Senior Backend Engineer, Python, n8n Workflow Automation
Coach4expats
AWSAzureCloudDockerGoogle Cloud PlatformNoSQLPythonSQL
Data Analyst
qode.world
AWSAzureCloudPythonSQLTableau
Senior Engineer, Data Science
NBCUniversal
AWSNoSQLPythonSQL
Associate Solution Engineer
Snowflake
AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSparkSQL