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ETL Lead

Valcan IT IncColumbus, OH🇺🇸United StatesPosted 10 Aug 2026

Why This Role Stands Out

As an ETL Lead at Valcan IT Inc, you will design and implement high-performance data pipelines for a transformative cloud-hosted data platform, gaining invaluable experience with diverse ETL tools and technologies. This hybrid role offers flexibility while allowing you to contribute significantly to large-scale data solutions, making it an excellent opportunity for experienced ETL engineers looking to advance their careers. Don't miss out on the chance to be a key player in this exciting project!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
Columbus, OH, United States
Posted
3 weeks ago
SQLETLAzureReconciliation

Job Description


Role Lead ETL Engineer
Location Ohio Hybrid
Duration 12 months


This position is classified as structured Hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days.

JOB DESCRIPTION

Lead ETL Engineer of large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform.

Key Responsibilities

Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams.

Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.

Requirements

Role Lead ETL Engineer
Location Ohio Hybrid
Duration 12 months


This position is classified as structured Hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days.

JOB DESCRIPTION

Lead ETL Engineer of large-scale data solutions. You will join a team delivering a transformative next-gen cloud hosted data platform.

Key Responsibilities

Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams.

Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.


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