Technical Support Engineer, MotherDuck
€83.7-95.3k
+ Equity
3 days a week in office
Data analytics platform
Be an early applicant
Data analytics platform
21-100 employees
Be an early applicant
€83.7-95.3k
+ Equity
3 days a week in office
21-100 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- We are seeking a highly motivated and skilled Support Engineer to join our dynamic team at MotherDuck
- The ideal candidate will be proficient in SQL, possess a deep understanding of databases, networking, and data engineering, and have strong troubleshooting skills
- This role requires high customer empathy and the ability to effectively communicate technical solutions to both technical and non-technical audiences
- Experience as a Support Engineer or similar role
- Bachelor's degree in Computer Science, Information Systems, Informatics, a related field preferred or equivalent professional experience
- Excellent communication skills with a customer-first mindset, able to explain complex technical issues to non-technical users with patience and clarity
- Demonstrated ability to write, understand, and optimize SQL queries to troubleshoot and resolve database issues
- Proven ability to identify, diagnose, and resolve technical issues with a high level of customer empathy
- Solid understanding of networking protocols, IP addressing, DNS, and general networking concepts
- Familiarity with databases (e.g., MySQL, PostgreSQL) and data engineering concepts (ETL pipelines, data warehousing)
- Familiarity with scripting languages (Python, NodeJS, Java) to automate troubleshooting tasks
- Experience with data engineering tools like dbt, Airflow, Spark or similar platforms
- Experience with support ticketing systems, remote troubleshooting tools, and monitoring platforms
- Analytical mindset with a focus on identifying root causes and preventing future issues
- Collaborative attitude, able to work across teams to solve customer challenges efficiently
What the job involves
- As a Support Engineer, you will play a critical role in helping our customers resolve technical challenges and ensuring a seamless user experience with MotherDuck's data platform solutions
- SQL Expertise: Use SQL to query, troubleshoot, and optimize database performance, providing insights and resolutions to customer data-related issues
- Technical Troubleshooting: Diagnose, analyze, and resolve complex customer issues related to our software, database, and networking environments
- Customer Support: Provide exceptional support to MotherDuck customers by understanding their challenges, effectively communicating solutions, and ensuring issues are resolved promptly
- Networking Knowledge: Assist customers in identifying and troubleshooting network-related issues, including connectivity problems, configurations, and protocols
- Data Engineering Understanding: Collaborate with internal teams and customers to troubleshoot data pipelines, ETL processes, and integrations with data platforms
- Incident Management: Manage technical incidents from initial reporting through to resolution, ensuring proper documentation and communication at each step
- Collaboration: Work closely with the engineering, product, and customer success teams to ensure customer issues are properly prioritized and resolved
- Knowledge Base Contribution: Contribute to internal and external documentation, including FAQs, troubleshooting guides, and best practices to enhance customer self-service
- Continuous Improvement: Identify opportunities for process improvements to increase the efficiency and effectiveness of the support function
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
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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