Senior Data Engineer at Quanata

The Role

We’re looking for an accomplished and well-rounded Senior Data Engineer who is comfortable navigating data science services, streaming data pipelines, and data warehouses. Over the course of your time with Quanata, you will have the opportunity to develop streaming data pipelines that bring together data from multiple sources to evaluate insured risk, APIs that package data science models, and our organizational data warehouse to promote data driven decision processes.

Your day-to-day

1. Partner with data science teams to implement solutions while designing for operational non functional requirements such as reliability, scalability, and maintainability.
2. Implement data quality checks and data governance processes to maintain data accuracy, consistency, and compliance.
3. Document technical specifications, data flows, and system configurations for collaborative design and future reference.
4. Collaborate with cross-functional teams to understand data requirements and design optimal data models and schemas.
5. Develop and implement data pipelines, integrating diverse data sources into Snowflake using appropriate ETL/ELT tools and techniques.

About You

• Bachelor's degree in Computer Science, Information Systems, or a related field, or relevant experience
• Eight or more years experience in software development
• Deep understanding of Python 
• Familiarity with terraform
• Experience with streaming data pipelines
• Experience with AWS
• Familiar with architecture principles in distributed solutions
• Experience with pipeline tools such as AWS Step Functions or Airflow and building extensive data integrations 
• Knowledge and experience with data governance practices
• Extensive experience with SQL and databases such as Postgres
• Experience working with rest services and APIs
• Strong software testing, data science testing, and data quality background
• Understanding of data science modeling processes and technologies such as Pandas and Scikit learn 
• Strong communication and collaboration skills
• Experience with streaming data ingestion and processing using tools like Kafka or AWS Kinesis
• Experience building scalable and resilient systems
• Understanding of data modeling techniques 

Bonus Points

• Extensive CI/CD experience
• Experience with Snowflake and DBT with ETL data pipelines

Salary: $190,000 to $300,000*

*Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization.

Additional Details: 

• Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.
• Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.
• Paid Time Off: All employees accrue four weeks of PTO in their first year of employment.  New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent.
• Personal and Professional Development: We’re committed to investing in and helping our people grow personally and professionally.  All employees receive up to $5000 each year for professional learning, continuing education and career development.  All team members also receive Udemy subscriptions and access to multiple different coaching opportunities through BetterUp.
• Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories.  Occasional travel may be required for team meetings or company gatherings.  Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.  
• Hours: We maintain core meeting hours from 9AM - 3PM Pacific time for collaborating with team members across all time zones.