Full-Time

Senior Sales Engineer

Qualytics

Qualytics

11-50 employees

AI-powered data quality platform for enterprises

No salary listed

Remote in USA

Remote

US applicants only; visa sponsorship not available.

Category
Sales & Solution Engineering (1)
Required Skills
Microsoft Azure
Python
Airflow
MySQL
Postgres
AWS
REST APIs
Oracle
Google Cloud Platform
Requirements
  • Experience: 4+ years of experience in solutions engineering, or customer-facing technical roles
  • Python Mastery: Advanced Python development skills with experience building production data solutions
  • 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.)
  • 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 stack
  • Customer Interaction: Proven track record of successful customer engagements and technical relationship building
  • Communication: Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiences
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
Desired Qualifications
  • 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
  • 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
  • Enterprise Experience: Experience working with large enterprise customers and complex organizational structures

Qualytics provides an AI-powered data quality platform for enterprises to automate and improve data quality controls. It uses machine learning to monitor data in real time, helping organizations keep their data reliable for decision making. The system is designed for B2B use by companies with strict data management and compliance needs, such as those in the oil and energy sector. Founded in 2020 and based in Orlando, Qualytics targets enterprise customers with scalable data quality and governance solutions that continuously surveil data quality. Its goal is to help businesses maintain trustworthy data through automated, real-time monitoring and governance tools.

Company Size

11-50

Company Stage

Series A

Total Funding

$15.2M

Headquarters

Orlando, Florida

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • $10M Series A led by BMW i Ventures fuels 5x revenue growth.
  • Major contract secured with top U.S. financial institution.
  • Founder Gorkem Sevinc's FinTech scaling expertise targets healthcare.

What critics are saying

  • BigQuery's ML anomaly detection bypasses Qualytics for GCP users now.
  • Databricks Unity Catalog commoditizes rules, eroding lakehouse pricing.
  • Great Expectations v4 enables zero-cost in-house surveillance by Q1 2026.

What makes Qualytics unique

  • No-code engine auto-generates 95% of validation rules from production data.
  • Proactive AI surveillance detects anomalies before data usage in enterprises.
  • Combines AI data quality with human governance for trusted controls.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Conference Attendance Budget

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

11%

1 year growth

8%

2 year growth

0%
StreetInsider
Jun 23rd, 2025
Qualytics Secures $10M Series A Funding

Qualytics, an enterprise data quality platform, announced a $10M Series A funding round led by BMW i Ventures. The funding will support Qualytics' rapid growth, driven by a 5x revenue increase and a major contract with a top U.S. financial institution. The platform offers automated data quality management, addressing the need for reliable data in AI and analytics. The investment will help expand the team and enhance platform capabilities to meet the growing demand for augmented data quality.

Hypepotamus
Dec 26th, 2022
Atlanta Investors Back Qualytics, A Startup With A “Proactive” Approach To Data Quality

Gorkem Sevinc, a self-described “multi-time entrepreneur startup junkie,” kept running into the same problems trying to manage and understand crucial company data.“Throughout my career, what I’ve experienced is that when you have bad data going into your ecosystem, you make bad decisions,” he told Hypepotamus. “When you have these data issues, your data team and your technical team are not the best people to catch those [problems]. It’s your subject matter experts – people like your CFO or your CRO – who know the data the best.”It is easier for those subject matter experts to sniff out problems with the data than a technical team playing “whack a mole” trying to solve the problem, he added.Keeping up with data quality changes has typically been a reactive process, Sevinc added. It’s also been hard for large enterprises to prove out ROI previously.That’s exactly why Qualytics was created, said Sevinc.The startup platform looks to help other companies “manage data quality at scale.” That means using AI to create better data quality rules and ultimately find the data anomalies that are hard to find when a company has millions or even billions of data points to work through.Data anomalies might range from pricing discrepancies to missing timestamp data related to recent sales to more complicated problems around data accuracy. Qualytics builds upon a company’s historical data to ultimately create better, more flexible rules moving forward.“When that data scientist is using 80 to 90% of their time prepping data and throwing bad data out, [they] are focusing on information and not insight. I want my team focused on insights,” he added.Given Sevinc’s previous work scaling FinTech and HealthTech startups, Qualytics is currently pursuing enterprise clients in the financial services and healthcare spaces

AiThority
Dec 25th, 2022
Qualytics Raises $2.5 Million to Help Enterprises Improve Data Quality

Qualytics, data quality platform for enterprises, announced it has raised $2.5 million led by venture capital firm Tech Square Ventures

PR Newswire
Dec 22nd, 2022
Qualytics Raises $2.5M to Help Enterprises Improve Data Quality

Qualytics, the leading active data quality platform for enterprises, today announced it has raised $2.5 million led by venture capital firm Tech Square Ventures, with participation from Engage, Knoll Ventures, SaaS Ventures and GRI Ventures.