Data Engineer, MotherDuck
$150-200k
+ Equity
3 days a week in office
Data analytics platform
Be an early applicant
Data analytics platform
21-100 employees
Be an early applicant
$150-200k
+ Equity
3 days a week in office
21-100 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- 5-10+ years of experience as a Data Engineer or in a similar role
- Proficiency in SQL and experience with relational data warehouses
- Expertise writing robust Python code for data processing
- Experience with data pipeline and orchestration tools such as Apache Airflow, dbt, or similar
- Ability to debug SQL query performance issues including examining query plans and system resource usage
- Understanding of data warehouse modelling concepts
- Experience working with APIs and integrating third-party data sources
- Ability to work independently in a fast-paced, collaborative environment
- Excellent problem-solving skills and a passion for data-driven insights
- Familiarity with deployment to cloud platforms (AWS, GCP)
- (Nice to have) Experience with observability tooling such as DataDog or Honeycomb
- (Nice to have) Experience with Kubernetes and Docker
What the job involves
- We’re looking for a talented Data Engineer to join our flock and help us build robust, scalable data pipelines and infrastructure
- As a Data Engineer at MotherDuck, you’ll play a key role in designing, implementing, and maintaining systems that process and analyze datasets across user behavior, telemetry and marketing
- You’ll work closely with our engineering, product, and analytics teams to ensure our data systems are robust and accurate, empowering us to guide the form and growth of MotherDuck
- Uniquely, as a data engineer at a database company, your experiences help inform the product itself
- Design, build, and maintain robust data pipelines and ETL processes
- Develop and optimize data models for analytics and reporting
- Collaborate with engineering and product teams to ensure data integrity and availability
- Monitor and troubleshoot data infrastructure performance, ensuring reliability and scalability
- Implement data quality and governance frameworks to maintain high standards
- Work with cloud-based platforms and tools to handle large-scale data processing
- Evaluate and implement new technologies to improve data workflows and performance
- Collaborating with engineering teams to provide new required signals and logging points
Our take
In the increasingly complex landscape of data analytics, the challenges faced in managing and extracting meaningful insights from large datasets are on the rise. Conventional approaches, often involving distributed architectures and petabyte-scale data solutions, can be cumbersome, expensive, and less user-friendly for the majority of users who do not operate at such a large scale.
MotherDuck, recognizing this issue, has emerged as a solution provider with its serverless, user-friendly data analytics platform. Leveraging the power of the open-source database DuckDB, MotherDuck aims to simplify the scale-up approach to SQL analytics, offering a faster, more cost-effective alternative for the 95% of analysts who do not require petabyte-scale data solutions.
Having secured funding in 2023, the company is now well-positioned to further enhance its platform and expand its user base. As MotherDuck continues to collaborate closely with the DuckDB team and integrate user feedback for enhancements, the company is also poised to play a pivotal role in the evolution of serverless data analytics.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2023
$52.5m
SERIES B
Nov 2022
$35m
SERIES A
Total funding: $100m
Company benefits
- Unlimited Paid Time Off
- 401k plan
- Regular offsites in hub or exotic locations
- 100% paid medical, dental, and vision for employees (plus 80% paid medical, dental, and vision for dependents)
Company HQ
Central Business District, Seattle, WA
Leadership
Jordan Tigani
(Co-Founder & CEO)Previously the CPO at SingleStore. Prior to that, they were a Product Leader, Engineering Leader, and Founding Engineer on Google BigQuery.
Ryan Boyd
(Co-Founder)Currently a Partner at HyperGrowth as well as an Advisor at SparrowLabs. With a background in Coding, Leadership, and Management working at Google, Flux, and Databricks.
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