Job Title:- Data Engineer | BigQuery & GTM Data (Salesforce)
Duration:- 6 - 12+ months on-going contract to hire
Location: 5 days /wk onsite - 1 SE 3rd Ave, Suite 2620, Miami, FL 33131
Recruiter Notes:
MUST HAVE:
- BigQuery (core data warehouse)
- Salesforce (primary data source)
Role Overview
We are looking for a hands-on Data Engineer to join our Data Team and build the data foundation that powers analytics across the business. In this role, you will design and maintain scalable data pipelines, ensuring that clean, reliable data is available for reporting on pipeline performance, revenue, and customer health.
You will work closely with Data Analysts and stakeholders across Sales, Marketing, Customer Success, and Finance to enable data-driven decision-making by delivering high-quality, well-modeled data in BigQuery.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines to ingest data from Salesforce, marketing platforms, and other SaaS systems into BigQuery
- Own and optimize the BigQuery data warehouse, including performance, cost efficiency, and data organization
- Model and transform raw data into clean, analytics-ready datasets to support reporting on pipeline, ARR, churn, and customer lifecycle
- Develop and maintain data models (fact/dimension tables) aligned to GTM and RevOps use cases
- Ensure data quality and reliability through validation checks, monitoring, and alerting
- Identify and resolve data inconsistencies, especially across CRM (Salesforce) and downstream systems
- Partner with Data Analysts to support dashboards and reporting by delivering trusted, well-structured data
- Support near real-time or batch data integration depending on business needs
- Document data pipelines, definitions, and architecture to support a self-service data environment
- Collaborate with engineering and business teams on data architecture and system integrations
Required Qualifications
- 3+ years of experience in Data Engineering or Data Platform roles
- Strong hands-on experience with Google BigQuery
- Proven experience building pipelines that integrate Salesforce (or similar CRM) data
- Strong SQL skills with experience in data transformation and optimization
- Experience building and maintaining ETL/ELT pipelines using modern tools/frameworks
- Solid understanding of data modeling (dimensional/star schema) and data warehousing concepts
- Experience working in cloud-based data environments (Google Cloud Platform preferred)
- Ability to troubleshoot pipeline failures, data issues, and performance bottlenecks
- Strong collaboration skills working with analysts and business stakeholders
Nice to Have
- Experience with dbt or similar transformation frameworks
- Experience with orchestration tools such as Airflow, Prefect, or Dagster
- Familiarity with Python for data processing or automation
- Experience integrating additional GTM tools (e.g., HubSpot, Stripe, Clari)
- Knowledge of data governance, lineage, and monitoring frameworks
- Exposure to real-time data pipelines or streaming architectures
Technical Stack
- BigQuery (core data warehouse)
- Salesforce (primary data source)
- SQL
- ETL / ELT pipelines
- dbt / transformation layer
- Google Cloud Platform ecosystem
- Orchestration tools (Airflow, etc.)
What Success Looks Like
- Reliable, scalable pipelines delivering clean, accurate GTM data into BigQuery
- Well-structured data models that enable fast, flexible reporting
- High trust in Salesforce-derived data across business teams
- Reduced data quality issues and faster time-to-insight for stakeholders
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