Qualytics
Senior Sales Engineer
Remote-USA · Senior
Work authorization requiredDetected 293 days ago
JavaScriptPythonJavaGoScalaSQLPostgreSQLMySQLAWSGCPAzureCloud PlatformsDockerKubernetesAPI DevelopmentRESTMachine LearningAirflowdbtData EngineeringAI OrchestrationSalesCustomer SuccessLeadership
About the role
- We're looking for a dynamic Solution Engineer to serve as the technical bridge between our innovative platform and our customers' complex data ecosystems.
- This role combines deep technical expertise with customer-facing responsibilities, requiring someone who thrives in both the command line and the conference room.
- You'll be the trusted advisor who helps enterprises successfully adopt and maximize value from the Qualytics platform.
Responsibilities
- Design and implement custom integration solutions using Python, RESTful APIs, and modern data engineering tools
- Develop out-of-band monitoring solutions that provide comprehensive data quality oversight without disrupting existing pipelines
- Build in-band pipeline integrations that embed Qualytics directly into customer data workflows using tools like DBT, Airflow, and custom orchestration frameworks
- Collaborate with customer data engineering teams to optimize performance and ensure scalable deployments
- Create technical documentation, implementation guides, and best practice recommendations for customer success
- Mentor and support customer teams through complex technical implementations
- Conference and speaking opportunities: we support and encourage team members to represent Qualytics at industry events
Requirements
- Brings experience from technical services or consulting background with hands-on solution development
- Has a polyglot programming approach with deep Python expertise
- Data Engineering: Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.)
- API Development: Proficiency with RESTful API design, integration, and troubleshooting
- Database Systems: Hands-on experience with multiple relational datastores (PostgreSQL, MySQL, SQL Server, Oracle, etc.)
- Communication: Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiences
- 4+ years of experience in solutions engineering, or customer-facing technical roles
- Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.)
- Proficiency with RESTful API design, integration, and troubleshooting
Nice to have
- Polyglot Programming: Experience with multiple programming languages (Scala, Java, Go, JavaScript, etc.)
- Data Quality Tools: Previous experience with data quality, observability, or monitoring platforms
- Streaming Systems: Experience with real-time data processing and streaming architectures
- Container Technologies: Proficiency with Docker, Kubernetes, and container orchestration
- We believe that data is the most valuable resource to companies, and that resource isn't useful unless it's reliable.
- Here's a blog we wrote summarizing some of the problems we're trying to solve: 8 Ways To Royally Flummox Your Data - and Not Even Know It https://qualytics.co/blog/
Skills
- Previous experience with data quality, observability, or monitoring platforms
- Proficiency with Docker, Kubernetes, and container orchestration
- Consulting Background: Previous experience in technical consulting or professional services
- Industry Certifications: Cloud platform certifications or data engineering credentials
- Open Source Contributions: Active participation in open source data engineering projects
- WHY WORK HERE?
- Competitive salary and equity: we pay up for great talent
- All the
- Cloud platform certifications or data engineering credentials
Compensation
- Competitive salary and equity: we pay up for great talent
Benefits
- Unlimited vacation - we trust you to take what you need - we clear the calendars on common holidays so you don't feel like you're going to miss an important meeting if you take off
- All the benefits: medical, dental, and vision insurance, the works
Company info
- Partner with customers to understand their data architecture, quality challenges, and business objectives
Visa & Work Authorization
- Please note that while the position is remote, we currently require applicants to be located in the United States and cannot offer visa sponsorship at this time.
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