Founding Data Engineer: Snowflake Platform Architect

eNGINE

Pittsburgh (Allegheny County)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

401(k) with company match
Profit sharing after 1 year

Job summary

eNGINE builds Technical Teams and hires a Data Engineer to join a growing organization serving HVAC/building automation. You will become the company’s founding Data Engineer, partnering with the VP of Engineering to modernize data infrastructure and establish a Snowflake-based platform from scratch.

You’ll design a modern data platform, own ELT pipelines from Salesforce, HubSpot, and more, and build dbt models across layers.

Qualifications

  • Experience with Snowflake data platforms and data modeling.
  • Proficient in Python for data pipelines and API integrations.
  • Strong SQL skills including complex queries and modeling.
  • Hands-on with dbt Core for modular models and testing.
  • Experience building ELT pipelines with Airbyte or Fivetran.
  • Familiarity with data governance, testing, and documentation.

Responsibilities

  • Architect and own a Snowflake-based data platform and architecture.
  • Develop ELT pipelines ingesting data from multiple sources (Salesforce, HubSpot, etc.).
  • Build and maintain dbt Core models across layers (staging to gold).
  • Create unified data models for customers, products, revenue, and more.
  • Develop Python-based data synchronization jobs and API clients.
  • Own data quality, monitoring, and reconciliation across pipelines.
  • Build APIs to expose Snowflake data to internal apps with FastAPI.
  • Design access controls and security for data access.
  • Develop dashboards using Tableau/Power BI/Looker/Streamlit.

Skills

Snowflake
Python
SQL
dbt Core
Airbyte/Fivetran
Data modeling
APIs

Tools

Airbyte
Fivetran
dbt Core
FastAPI
Streamlit
Tableau/Power BI/Looker
Azure SQL
Snowflake

Job description

eNGINE builds Technical Teams and hires a Data Engineer to join a growing organization serving HVAC/building automation. You will become the company’s founding Data Engineer, partnering with the VP of Engineering to modernize data infrastructure and establish a Snowflake-based platform from scratch.

You’ll design a modern data platform, own ELT pipelines from Salesforce, HubSpot, and more, and build dbt models across layers.

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