Graphic of Topline Pro logo.
Topline Pro Logo

Topline Pro

Senior Data Engineer

Posted 20 Days Ago
In-Office
Boston, MA
150K-175K Annually
Senior level
In-Office
Boston, MA
150K-175K Annually
Senior level
As a Senior Data Engineer, you'll build and maintain Python-based data pipelines, ensure data quality, and collaborate with various teams to optimize data workflows and architecture.
The summary above was generated by AI
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.

📣 Role Summary

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, RevOps, 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.

⚡ What you will do
  • 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, RevOps, 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

🎯 What we are looking for
  • Minimum of 6 years of experience in data engineering, analytics engineering, or revenue data systems in a SaaS or go to market environment

  • Hands on experience with Snowflake

  • 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, RevOps, 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

🤗 Who you are
  • 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 others trust

  • Bring clarity, thoughtfulness, and strong communication to every interaction

🤝 Our Values
  • No Bullsh*t: We create meaningful results for our customers and drive growth for our team—ensuring progress and impact are felt every day. Our focus, both internally and externally, is on delivering genuine value rather than superficial solutions or benefit without purpose.

  • Think Big, Learn Fast: We move quickly, acting on data to uncover insights and solutions. We embrace risks, knowing every experiment fuels growth—even when it doesn’t go as planned.

  • One Team, One Dream: We tackle challenges together with creativity, and an open mind—always seeking solutions and embracing fresh ideas to win as a team.

  • Empower Every Voice: We welcome diverse perspectives and bold ideas, creating space for authenticity and respect—because great ideas come from everywhere.

  • Be an Owner: We take responsibility for outcomes, act in the company’s best interest, and treat every dollar as our own. We move with urgency, think long-term, and take pride in driving impact.

  • Boom!: We take time to celebrate each other’s achievements, big and small—at work and in life—because shared success fuels lasting momentum. And we end all team meetings in a “Boom!”

🙌 What we offer
  • Competitive salary packages reflective of market and candidates experience & skills

  • Full Medical, Dental, and Vision Health Coverage

  • Computer and workspace enhancements

  • 401(k) plan (non-matching)

  • Unlimited vacation, 9 company holidays including election day, and 1 personal volunteer day a year

  • Company-paid Wellhub membership for fitness and wellness

  • Dinner covered with Uber Eats + a stocked kitchen to keep you fueled

  • Opportunity to take on significant responsibility and ownership in scaling a product that can change the lives of home service pros

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 90+ 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.

Top Skills

Airbyte
Airflow
Celery
Dagster
Dbt
Fivetran
Prefect
Python
SQL

Similar Jobs at Topline Pro

4 Days Ago
In-Office
Boston, MA, USA
Senior level
Senior level
Artificial Intelligence
The Staff Analytics Engineer will model and organize data, develop scalable data models, lead analytics projects, and collaborate across teams to enhance data-driven decision-making.
Top Skills: DbtHexLookerSnowflakeSQLStripe
15 Days Ago
In-Office
Boston, MA, USA
190K-215K Annually
Senior level
190K-215K Annually
Senior level
Artificial Intelligence
Lead the technical direction of the platform, designing complex systems and mentoring engineers while leveraging AI and modern technologies.
Top Skills: AWSDjangoDjango Rest FrameworkGithub ActionsJavaScriptPostgresPythonReactRedisTypescript

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account