Data Engineer- onsite in Pittsburgh, PA

A.C. CoyWest Homestead, PA
Onsite

About The Position

The A.C.Coy Company has an immediate need for a Data Engineer. In this role, you will architect, build, and own this transformation end-to-end. You will be the founding data engineer on this initiative. You will design and implement pipelines that unify data from 7 operational source systems. This is a high-ownership, high-impact role. You will work directly with engineering and business leadership to define the data strategy, not just execute tasks.

Requirements

  • 3- 5 years of experience as a Data Engineer
  • Snowflake: Deep hands-on experience with schema design, warehouse sizing, clustering, time travel, and cost management.
  • dbt core: Production experience with modular models, macros, packages, and incremental materialization.
  • ELT: Experience configuring and operating Airbyte / Fivetran or similar (or equivalent) for multi-source ingestion
  • Data Warehouse/Data Lakes
  • Azure/Cloud: Practical experience with Azure SQL Managed Instance, Storage, and DevOps pipelines
  • Python: Strong Python for Data Sync Jobs, API clients, and FastAPI development
  • Reporting- Tableau or PowerBI

Responsibilities

  • Design, build and operate reliable ELT ingestion pipelines using Airbyte / Fivetran or similar to pull data from all 7 operational sources into Snowflake Bronze on a nightly schedule
  • Build and maintain dbt staging models (Silver layer) that clean, deduplicate, and standardise data from all 7 sources into consistent schemas
  • Establish and enforce data contracts for each source domain — agreed schemas, null rates, acceptable value ranges, and freshness SLAs
  • Design and maintain the internal operational database
  • Build and maintain FastAPI endpoints that serve Snowflake Gold data to our internal React application — customer views, pipeline dashboards, inventory risk, margin reports
  • Collaborate with the engineering team to decouple legacy Azure SQL Managed Instance dependencies and migrate data to the new Snowflake-native environment
  • Own the end-to-end dashboard layer: from Gold model design through to published, production-grade dashboards consumed by executive and operational stakeholders
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