Overview: 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
