Data Engineer

Data Engineer

Location: Miami FL (Onsite preferred)

Long Term Contract

Role Overview

We are seeking a skilled Data Engineer to design build and maintain the data infrastructure powering companys analytics. This role will focus on developing reliable pipelines that ingest data from key commercial systems (Salesforce HubSpot Stripe and more) into BigQuery ensuring data is clean well-documented and readily available for the Analytics and BI teams. The ideal candidate will combine strong technical expertise with a collaborative mindset to deliver trustworthy high-performance data solutions.

Key Responsibilities

• Design build and maintain robust ELT/ETL pipelines ingesting data into BigQuery.

• Configure and extend Fivetran connectors; develop custom connectors when required.

• Develop and maintain dbt models tests and documentation to ensure data quality and lineage.

• Monitor pipeline health implement alerting and respond to incidents to ensure data freshness.

• Partner with the Senior Data Architect on data governance practices (cataloguing certification access controls).

• Optimize BigQuery tables for cost efficiency and query performance (partitioning clustering materialization).

• Collaborate with Analytics Engineers and Analysts to align data models with downstream requirements.

• Contribute to CI/CD pipelines and infrastructure-as-code practices for data assets.

• Document data flows dependencies and pipeline architecture for transparency and team alignment.

Qualifications

• 3 years of experience in data engineering or related roles.

• Strong proficiency in SQL and Python for pipeline development and debugging.

• Hands-on experience with BigQuery or other cloud data warehouses (Snowflake Redshift etc.).

• Experience with ELT/ETL tools (Fivetran Airbyte or custom frameworks).

• Proficiency with dbt for transformations and testing.

• Experience with workflow orchestration tools (Airflow Cloud Composer Prefect).

• Familiarity with GCP services (Cloud Storage Pub/Sub Cloud Functions) or equivalent AWS/Azure services.

• Strong understanding of data modeling concepts (star schema SCDs normalization).

• Fluent in English (written and spoken).

Nice to Have

• Experience integrating Salesforce HubSpot or Stripe data sources.

• Knowledge of data governance tools (GCP Data Catalog Dataplex).

• Experience with streaming pipelines (Pub/Sub Kafka).

• Familiarity with Terraform or other IaC tools.

• Background in Revenue Operations or go-to-market data contexts.

• Contributions to open-source data projects or dbt packages.

Required Skills:

Data Engineeringsqlpythonetl