Senior Data Engineer

About Topline Pro

We’re building AI powered Shopify for service businesses. We help service pros (e.g., roofers, landscapers, painters, cleaners) acquire direct business, fast. Up and running within minutes using Gen AI, our digital storefront products help pros get discovered, trusted, and booked repeatedly.

Topline Pro is co-founded by Nick Ornitz (CEO) and Shannon Kay (CPO) with an excellent team of 80+ rockstars with plans to expand more in 2025. We serve thousands of local service businesses and were named as one of the 2023 and 2024 top 50 Tech Companies building for SMBs.

We're YC-backed and well funded with several years of runway, and we’ve experienced rapid growth in the past year. We're in a phenomenal position to scale—with the financial foundation, product-market fit, and momentum to go big. You’ll be joining at an inflection point—where the groundwork is laid and the path to massive impact is clear.

We believe “great candidates” do not come about through simply a checkmark next to past experiences. We believe in hiring people not just skills. Even if you do not check every box but find excitement at the prospect of working with us in this capacity, please apply.

You will own and evolve the systems that power our go to market data foundation. This role focuses on building reliable Python based pipelines, strengthening data quality across our tools, and partnering closely with Engineering, Rev Ops, and GTM teams to create clear and consistent data workflows. You will design and maintain the internal data products that keep our teams aligned, trusted, and able to move quickly.

• Build and maintain Python based data pipelines that collect, clean, and enrich lead data from APIs, web forms, and marketing tools
• Ensure consistent and high quality ingestion into our core systems
• Develop and refine transformation logic including deduplication, normalization, and validation
• Keep datasets accurate and standardized across all go to market systems
• Strengthen reliability and observability with clear monitoring, logging, and alerting
• Build workflows that support long term scalability and maintainability
• Create and uphold data governance standards across tools such as Retool
• Add guardrails, approval flows, and automated validation checks to protect production data
• Document data flows, ownership, and change history so teams understand how information moves
• Partner with Engineering, Rev Ops, and GTM teams to align data models and workflows
• Maintain strong data security and safe access to sensitive business information
• Contribute to the evolution of go to market data architecture by identifying opportunities for scalability, performance, and better governance

• Minimum of 6 years of experience in data engineering, analytics engineering, or revenue data systems in a SaaS or go to market environment
• Strong Python and SQL skills with experience building API based pipelines
• Experience orchestrating workflows with Celery, Prefect, Airflow, or similar tools
• Strong understanding of data modeling and data quality practices
• Skilled in monitoring, logging, and alerting to maintain healthy pipelines
• Familiar with data hygiene, governance, and security within production systems
• Comfortable partnering closely with Engineering, Rev Ops, and GTM teams
• Clear communicator who values maintainability, reliability, and ownership
• Thrives in a fast moving environment, brings curiosity, and uses strong judgment

Nice to have

• Familiarity with modern data stacks such as dbt, Airbyte, Fivetran, Dagster, or Prefect
• Experience with lead aggregation, enrichment, or large scale web scraping
• Experience working in tools such as Retool or Heap to support internal operations
• Experience scaling data architecture or guiding teams toward more modern stacks
• A data product mindset with a focus on clear documentation and usability

• Curious, self directed, and excited to build reliable internal data systems
• Motivated by helping teams make better decisions through clean and consistent data
• Comfortable moving between problem solving, building, documenting, and collaborating
• Take pride in creating systems that…