Senior Data Engineer

Topline Pro-posted 1 day ago

Full-time • Mid Level

Boston, MA

11-50 employees

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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.

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

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

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

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

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