Data Engineer- onsite in Pittsburgh, PA (CANDIDATES MUST LIVE IN PITTSBURGH)

Overview

Location

Onsite in Pittsburgh, PA

(CANDIDATES MUST LIVE IN PITTSBURGH)

Job Type

Full Time/Permanent

Work Authorization

No Sponsorship

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.

Responsibilities

You will be the founding data engineer on this initiative. You will design and implement pipelines that unify data from 7 operational source systems

• 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

Qualifications

Education

Degree required- if no degree, then 7+ years’ of experience

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.

• 3- 5 years of experience as a Data Engineer with the following:
• 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