Data Engineer

Data Engineer

Has to be in miami 5 days a week

Interviews Monday!!

• 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