Senior DataOps and Data Engineer
Data Engineer, Database Management and Administration, Data Extraction and ETL
Summary
Lead database management for SaaS for performance engineering, ETL, make data processes observable and repeatable, assist with analytics and effective data models. 6-10 years of professional database management, development, and/or DataOps experience in a SaaS product environment. Long-Term, Remote.
- Considering people in GMT+2 to GMT-8 for this role
- Workday must overlap of at least 50% with Eastern Standard Time business hours
- Location: Ukraine, Europe, LatAm ONLY!
About this opening
A venture-backed SaaS health-tech analytics company with offices in Boston, New York City and Savannah. We combine medicine, business, and technology. Doctor-driven at heart, we are dedicated to helping individuals find affordable medicine
We use technology to empower and educate payers and individuals. Our solutions offer insights to Employers, Consultants, and Health Plans, delivering significant and immediate savings. We have already saved payers and individuals many millions of dollars on prescriptions, in this way reducing costs, and improving outcomes. And we’re just getting started!
Position Overview
We are looking for an enthusiastic self-starter to help us exceed the expectations of our demanding customers by leading database performance management and DataOps.
As an engineer you will be part of a small, talented team responsible for building and supporting our cloud-based health analytics product suite. You will lead database management, work with senior developers in performance engineering, take responsibility for ETL, make data processes observable and repeatable, assist with analytics, and collaborate with team members to create effective data models.
This leadership role is responsible for data operations of a fast growing SaaS product and data management environment with high performance and security requirements. We look for a passion for automation and observability, the ability to motivate and lead database performance engineering, and deep knowledge of database management and programming. You won’t be bored!
Tech Stacks:
- We are only considering people in GMT+2 to GMT-8 for this role
- Your workday must overlap of at least 50% with Eastern Standard Time business hours
A venture-backed SaaS health-tech analytics company with offices in Boston, New York City and Savannah. We combine medicine, business, and technology. Doctor-driven at heart, we are dedicated to helping individuals find affordable medicine
We use technology to empower and educate payers and individuals. Our solutions offer insights to Employers, Consultants, and Health Plans, delivering significant and immediate savings. We have already saved payers and individuals many millions of dollars on prescriptions, in this way reducing costs, and improving outcomes. And we’re just getting started!
Position Overview
We are looking for an enthusiastic self-starter to help us exceed the expectations of our demanding customers by leading database performance management and DataOps.
As an engineer you will be part of a small, talented team responsible for building and supporting our cloud-based health analytics product suite. You will lead database management, work with senior developers in performance engineering, take responsibility for ETL, make data processes observable and repeatable, assist with analytics, and collaborate with team members to create effective data models.
This leadership role is responsible for data operations of a fast growing SaaS product and data management environment with high performance and security requirements. We look for a passion for automation and observability, the ability to motivate and lead database performance engineering, and deep knowledge of database management and programming. You won’t be bored!
Tech Stacks:
- MySQL, Snowflake, Redis
- AWS, GitHub
- Java, Python, Tableau Cloud and Tableau Prep
- Define and build an automated database performance engineering process and framework
- Collect and manage deterministic, well-known, and representative test sets
- Optimize database performance using configuration, best-practices, and effective models
- Engage with developers to collaborate on requirements and performance engineering
- Create and manage ETL processes
- Detect and respond to operational and customer problems
- 6-10 years of professional database management, development, and/or DataOps experience in a SaaS product environment
- Experience database performance engineering large scale systems through high growth
- Experience leading data quality management activities
- Ability to collaborate with Java and Python developers on best practices for database performance and data quality
- Deep knowledge of database internals and best practices for transactional and analytical processing
- Ability to problem-solve collaboratively and independently