Senior Data Engineer at Topline Pro

Boston, Massachusetts, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaS, AIIndustries

Requirements

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, 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

Responsibilities

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

Skills

Key technologies and capabilities for this role

PythonData PipelinesETLAPIsData CleaningDeduplicationNormalizationData ValidationData Ingestion

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Engineer role?

A minimum of 6 years of experience in data engineering, analytics engineering, or revenue data systems in a SaaS or go to market environment is required.

What technical skills are essential for this position?

Strong Python and SQL skills are required, along with experience building API-based pipelines.

Is this a remote or on-site position?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What should I highlight in my application for this role?

Even if you don't check every box, apply if you're excited about the role; the company values people over just skills checklists.

Topline Pro

Generative AI platform for home services

About Topline Pro

Topline Pro provides a Generative AI platform that helps home service businesses improve their online presence and customer engagement. The platform allows users to create custom websites that are optimized for search engines, making it easier for potential customers to find them. Additionally, it includes an application that manages content for local listings, automates social media posts, and enables online payment processing. This service is particularly beneficial for small businesses and home service professionals, as it simplifies their operations and enhances their visibility in the market. Unlike many competitors, Topline Pro focuses specifically on the home services sector and offers subscription-based access to its tools, ensuring that clients have ongoing support and resources to grow their businesses.

Boston, MassachusettsHeadquarters

2020Year Founded

$16.5MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Paid Holidays

401(k) Retirement Plan

Company Equity

Risks

Increased competition from companies like Honey Homes and Puls Technologies.

Slowdown in the housing market may impact demand for home services.

Rising raw material prices could reduce investment in subscription-based platforms.

Differentiation

Topline Pro uses Generative AI to enhance discoverability and trust for home services.

The platform offers SEO-optimized websites, boosting online visibility for small businesses.

Topline Pro automates social media and payment processes, streamlining business operations.

Upsides

Raised $12M in Series A funding, indicating strong investor confidence.

Named to 2023 SMBTech 50, highlighting its growth potential and industry recognition.

Growing demand for AI-driven SEO tools aligns with Topline Pro's offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free