Data Engineer - GTM & Analytics

Accountabilities:

• Design, build, and maintain scalable ETL/ELT pipelines integrating CRM, marketing, product, finance, and operational data sources into a unified data warehouse

• Own and evolve the internal data infrastructure, ensuring reliable data models, schema design, and system performance at scale

• Manage data warehouse architecture including partitioning strategies, access controls, and security frameworks in collaboration with infrastructure teams

• Take ownership of billing and revenue-related data systems, ensuring accuracy, consistency, and ongoing maintenance

• Partner with GTM, RevOps, Product, Finance, and executive stakeholders to define KPIs and enable data-driven decision-making

• Develop and maintain data transformations and workflows that ensure clean, reliable, and well-structured datasets

• Build dashboards and analytics layers to support business insights across GTM, product, and leadership teams

• Champion data governance, documentation, and quality standards to ensure trust and usability across all data assets

Requirements:

• 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business intelligence functions

• Strong proficiency in Python and advanced SQL with experience in modern data stack tools such as dbt, Airflow, Fivetran, BigQuery, or Snowflake

• Proven experience integrating data across systems such as Salesforce, HubSpot, Amplitude, and other GTM or analytics platforms

• Hands-on experience with cloud environments such as AWS or GCP and familiarity with CI/CD and containerization tools

• Experience building and maintaining scalable data pipelines, data models, and analytics-ready datasets

• Strong understanding of data governance, security, and quality best practices in production environments

• Ability to work closely with both technical and non-technical stakeholders, translating business needs into data solutions

• Strong communication skills and ability to operate effectively in ambiguous, fast-paced environments

• Bonus: Experience with product analytics tools such as Segment, Mixpanel, or Amplitude and exposure to high-growth SaaS environments

Benefits:

• Competitive compensation package including base salary and equity

• Remote-first work environment with flexibility to work from anywhere

• Comprehensive health, dental, and vision insurance for employees and dependents

• Retirement savings plan with employer matching (where applicable)

• Generous paid time off including flexible vacation and year-end break

• Home office setup stipend plus monthly allowances for meals and social engagement

• Annual stipends for wellness, learning, and professional development

• MacBook Pro and necessary equipment provided for remote work

• Opportunity to join a fast-growing, high-impact team building data infrastructure at scale

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1