Qualytics · 3 months ago
Senior Sales Engineer
United States
Full-time
Remote
Mid, Senior Level
4+ years expQualytics is an innovative company focused on enhancing data quality solutions. They are seeking a Senior Sales Engineer to serve as a technical bridge between their platform and customers, helping enterprises implement and optimize data quality solutions while also acting as a technical ambassador in various industry settings.
AnalyticsData IntegrationSoftware
No H1B
Responsibilities
Partner with customers to understand their data architecture, quality challenges, and business objectives
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
Architect hybrid and cloud-native solutions across AWS, GCP, and Azure environments
Write production-quality Python code for customer implementations, including custom connectors, data transformations, and integration utilities
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
Conduct technical workshops, webinars, and training sessions for customer teams
Represent Qualytics at industry conferences, meetups, and technical forums as a thought leader in data quality
Provide feedback to product and engineering teams based on real-world customer use cases and requirements
Mentor and support customer teams through complex technical implementations
Give & receive constructive feedback that makes the overall team and product stronger
Qualification
Required
4+ years of experience in solutions engineering, or customer-facing technical roles
Advanced Python development skills with experience building production data solutions
Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.)
Proficiency with RESTful API design, integration, and troubleshooting
Hands-on experience with multiple relational datastores (PostgreSQL, MySQL, SQL Server, Oracle, etc.)
Experience with cloud-based and hybrid data solutions across major providers (AWS, GCP, Azure)
Familiarity with popular data tools and frameworks in the modern data stack
Proven track record of successful customer engagements and technical relationship building
Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiences
Preferred
Experience with multiple programming languages (Scala, Java, Go, JavaScript, etc.)
Previous experience with data quality, observability, or monitoring platforms
Experience with real-time data processing and streaming architectures
Proficiency with Docker, Kubernetes, and container orchestration
Previous experience in technical consulting or professional services
Cloud platform certifications or data engineering credentials
Active participation in open source data engineering projects
Experience working with large enterprise customers and complex organizational structures
Benefits
Competitive salary and equity: we pay up for great talent
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
Work with a passionate and dedicated team
Conference and speaking opportunities: we support and encourage team members to represent Qualytics at industry events
Fun environment with like minded individuals who enjoy a company giphy conversation on slack more than they should
Company
Qualytics
Qualytics automates data quality for enterprise trust, speed, and AI-readiness.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$16.71MKey Investors
BMW i VenturesTech Square Ventures
2025-06-23Series A· $10M
2024-04-18Seed· $1.25M
2022-12-22Seed· $2.5M
Leadership Team
Eric Simmerman
Chief Technology Officer, Co-Founder
Recent News
2025-06-26
Company data provided by crunchbase