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Data Engineer

Stellar IT Group

Miami, FL

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JOB DETAILS
SKILLS
Access Control, Amazon Web Services (AWS), Apache, Business Model, Cataloguing, Cloud Computing, Cloud Storage, Continuous Deployment/Delivery, Continuous Integration, Customer Retention/Renewal, Data Modeling, Data Quality, Data Warehousing, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Debugging Skills, Documentation, English Language, GCP (Good Clinical Practices), Incident Response, Machine Tool, Metrics, Microsoft Windows Azure, Open Source, Python Programming/Scripting Language, SQL (Structured Query Language), Salesforce.com, Snowflake Schema, Star Schema, Testing
LOCATION
Miami, FL
POSTED
Today
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

About the Company

S

Stellar IT Group

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