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APPLICANTS MUST LIVE IN THE PITTSBURGH, PA AREA CURRENTLY, NO RELOCATION No 3rd Parties/Sub Vendors 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 Reporting - Tableau, PowerBI, or similar
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.