Data Engineer

POSITION Data Engineer

INDUSTRY Service Management

LOCATION Fully onsite - Miami, FL - Locals preferred

DURATION 6 month

Type W2

INTERVIEW TYPE Video

VISA TYPE USC

REQUIRED SKILLS 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.