About
Data Engineer
ONSITE - Miami, FL
6+ Months Contract-to-Hire
Strong
data experience
is required. Thorough
hands-on experience with Salesforce is a must , and
experience with BigQuery
is also a mandatory requirement. Preference for candidates with experience supporting subscription-based business models. Experience working with data related to recurring revenue, customer subscriptions, renewals, retention, and similar subscription-service metrics would be highly relevant. MRR and ARR knowledge is a plus RevCloud is a plus
Key Responsibilities
• Design, build, and maintain robust ELT/ETL pipelines ingesting data from Salesforce, HubSpot, Stripe, and other commercial systems into BigQuery.
• Manage and extend our Fivetran connector configurations; implement custom connectors where no off-the-shelf solution exists.
• Develop and maintain dbt models, tests, and documentation to ensure data quality and lineage transparency.
• Monitor pipeline health, set up alerting, and respond to incidents - keeping our data fresh and stakeholders informed.
• Work with the Senior Data Architect to implement data governance practices including cataloguing, data certification, and access controls.
• Optimize BigQuery tables for cost and query performance: partitioning, clustering, and materialization strategies.
• Collaborate with Analytics Engineers and Analysts to understand downstream data requirements and model data accordingly.
• Support infrastructure-as-code practices and contribute to CI/CD pipelines for data assets.
• Document data flows, dependencies, and pipeline architecture so the team has a clear picture of the data lake.
What You Bring
• 5+ years of experience in data engineering or a closely related role.
• Strong SQL and Python skills - comfortable building pipelines, writing transformation logic, and debugging production issues.
• Hands-on experience with BigQuery or another cloud data warehouse (Snowflake, Redshift, or similar).
• Experience with ELT/ETL tooling such as Fivetran, Airbyte, or custom pipeline frameworks.
• Proficiency with dbt (data build tool) for data transformation and testing.
• Experience with workflow orchestration tools such as Apache Airflow, Cloud Composer, or Prefect.
• Familiarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure services.
• Strong understanding of data modeling concepts: star schema, slowly changing dimensions, normalization.
• Fluent in English (written and spoken).
Nice to Have
• Experience integrating Salesforce, HubSpot, or Stripe data sources specifically.
• Knowledge of data governance tools such as GCP Data Catalog or Dataplex.
• Experience with streaming pipelines (Pub/Sub, Kafka, or similar).
• Familiarity with Terraform or other infrastructure-as-code tools.
• Prior experience working in a Revenue Operations or go-to-market data context.
• Contribution to open-source data projects or dbt packages
Skills:
Salesforce,bigquery
Languages
- English
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