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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

Work Type
Remote
Level
Mid Senior

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.


Skills

SQL
ETL
Azure
Reconciliation

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