Job Title: Senior Sales Engineer

Company Name: Qualytics

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/qoh4jth98anm30t0

Job Description: Posted 6mo agoSenior Sales Engineer@ QualyticsView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:design integrations, develop monitoring, write codeRequirements Summary:4+ years in solutions engineering or customer-facing technical roles; strong Python, data engineering, API development, and cloud platforms; excellent communication.Technical Tools Mentioned:Python, DBT, Airflow, REST, PostgreSQL, MySQL, SQL Server, Oracle, AWS, GCP, Azure
The OpportunityWe'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.As a Solution Engineer at Qualytics, you'll work directly with customers to design, implement, and optimize data quality solutions that integrate seamlessly into their existing infrastructure. You'll develop both out-of-band monitoring solutions and in-band data pipeline integrations, ensuring our platform delivers maximum impact regardless of the customer's architectural preferences. Beyond implementation, you'll serve as a technical ambassador for Qualytics in industry events, webinars, and thought leadership initiatives.This is not a typical sales engineering role - you'll be hands-on keyboard, writing production code, architecting solutions, and solving real technical challenges alongside some of the most sophisticated data teams in the enterprise world.What You'll DoPartner with customers to understand their data architecture, quality challenges, and business objectivesDesign and implement custom integration solutions using Python, RESTful APIs, and modern data engineering toolsDevelop out-of-band monitoring solutions that provide comprehensive data quality oversight without disrupting existing pipelinesBuild in-band pipeline integrations that embed Qualytics directly into customer data workflows using tools like DBT, Airflow, and custom orchestration frameworksArchitect hybrid and cloud-native solutions across AWS, GCP, and Azure environmentsWrite production-quality Python code for customer implementations, including custom connectors, data transformations, and integration utilitiesCollaborate with customer data engineering teams to optimize performance and ensure scalable deploymentsCreate technical documentation, implementation guides, and best practice recommendations for customer successConduct technical workshops, webinars, and training sessions for customer teamsRepresent Qualytics at industry conferences, meetups, and technical forums as a thought leader in data qualityProvide feedback to product and engineering teams based on real-world customer use cases and requirementsMentor and support customer teams through complex technical implementationsGive & receive constructive feedback that makes the overall team and product strongerWho You AreEnjoys working directly with customers and building long-term technical relationshipsCollaborates extremely well with both internal teams and external stakeholdersHas strong presentation and communication skills, comfortable speaking to technical and executive audiencesComes with a customer-first mindset and genuine passion for solving complex data challengesBrings experience from technical services or consulting background with hands-on solution developmentHas a polyglot programming approach with deep Python expertiseTakes a pragmatic approach to solution design, balancing technical excellence with practical business needsHas strong curiosity about emerging data technologies and industry trendsEnjoys teaching and enabling others to be successful with technologyRequirementsExperience: 4+ years of experience in solutions engineering, or customer-facing technical rolesPython Mastery: Advanced Python development skills with experience building production data solutionsData Engineering: Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.)API Development: Proficiency with RESTful API design, integration, and troubleshootingDatabase Systems: Hands-on experience with multiple relational datastores (PostgreSQL, MySQL, SQL Server, Oracle, etc.)Cloud Platforms: Experience with cloud-based and hybrid data solutions across major providers (AWS, GCP, Azure)Data Ecosystem: Familiarity with popular data tools and frameworks in the modern data stackCustomer Interaction: Proven track record of successful customer engagements and technical relationship buildingCommunication: Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiencesNice to HavePolyglot Programming: Experience with multiple programming languages (Scala, Java, Go, JavaScript, etc.)Data Quality Tools: Previous experience with data quality, observability, or monitoring platformsStreaming Systems: Experience with real-time data processing and streaming architecturesContainer Technologies: Proficiency with Docker, Kubernetes, and container orchestrationConsulting Background: Previous experience in technical consulting or professional servicesIndustry Certifications: Cloud platform certifications or data engineering credentialsOpen Source Contributions: Active participation in open source data engineering projectsEnterprise Experience: Experience working with large enterprise customers and complex organizational structuresWhy Work Here?MissionWe founded Qualytics based on our collective experiences working at a number of early-stage technology companies grappling with challenges related to data quality. We realized how few products are available to help organizations maintain quality & trust in their data pipelines. We're here to change that with a platform capable of detecting and proactively responding to data anomalies before they result in ML model drift, corruption of your aggregated calculations, or other pollution of your downstream systems. 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 ItValuesQualytics is a values-driven organization, and we are excited about what we do. We're flexible, honest, hardworking, and collaborative. As a team, we bring our diverse backgrounds, beliefs, and experiences together to create better individual work experiences. We support and challenge one another to bring out the best in each of us, and it seems like we have a little fun along the way. We are lifelong learners, and support ongoing training and professional development on a wide variety of topics.PerksCompetitive salary and equity: we pay up for great talentUnlimited 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 offAll the benefits: medical, dental, and vision insurance, the worksWork with a passionate and dedicated teamConference and speaking opportunities: we support and encourage team members to represent Qualytics at industry eventsFun environment with like minded individuals who enjoy a company giphy conversation on slack more than they shouldPlease 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.