Data Engineer

A.C.Coy Company; Homestead (Allegheny County); On-site; USD 90,000 - 150,000; Full time

Job summary

A.C.Coy Company in Pittsburgh, PA is seeking a Data Engineer to architect, build, and own this transformation end-to-end on site. You will design pipelines unifying data from seven source systems to Snowflake, develop dbt models, enforce data contracts, and deliver production dashboards used by executives and operations.

You will collaborate with the engineering team to migrate from Azure SQL Managed Instance to Snowflake-native environments and create FastAPI endpoints serving Gold data to

Qualifications

• Bachelor's degree or 7+ years of data engineering experience.
• 3–5 years of data engineering experience with Snowflake, dbt core, ELT.
• Hands-on Snowflake schema design, warehouse sizing, and time travel.
• Experience with Airbyte/Fivetran or similar for multi-source ingestion.
• Azure SQL Managed Instance, Storage, and DevOps pipelines.
• Strong Python for data sync jobs and FastAPI development.

Responsibilities

• Design, build and operate ELT ingestion pipelines from 7 sources into Snowflake Bronze nightly.
• Build and maintain dbt staging models (Silver) and standardise data schemas.
• Establish and enforce data contracts for source domains with agreed schemas and SLAs.
• Design and maintain the internal operational database.
• Build and maintain FastAPI endpoints serving Snowflake Gold data to internal apps.
• Migrate data from Azure SQL Managed Instance to Snowflake-native environments.
• Own end-to-end dashboard layer from Gold model design to production-grade dashboards.

Skills

Snowflake

dbt core

ELT pipelines

Data Warehouses

Azure/Cloud

Python

Education

Bachelor's degree

7+ years Data Eng experience

Job description

APPLICANTS MUST LIVE IN THE PITTSBURGH, PA AREA CURRENTLY, NO RELOCATION

Location: 100% Onsite in Pittsburgh, PA (Fridays can be 4 hours days every week OR 8 hour days every other week.)

Job Type: Full Time/Permanent

Work Authorization: U.S. Citizens or Green Card Holders Only

Overview

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

Education

Bachelor's Degree or a minimum of 7+ years’ of Data Engineering experience

Qualifications

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