Data Engineer Electronic Document Management System (EDMS) || Remote

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2

Skills

Amazon Web Services
Cloud Computing
Collaboration
Content Management Systems
Data Engineering
Data Integration
Data Migration
Data Modeling
Data Validation
Database Design
Document Management
Extract
Transform
Load
FOCUS
File Systems
FileNet
Google Cloud
Google Cloud Platform
Java
Laserfiche
Legacy Systems
Mapping
Meta-data Management
Microsoft Azure
Microsoft SharePoint
Migration
Modeling
OpenText
Python
SQL
Scala
Scalability
System Integration

Job Details

Job Title: Data Engineer Electronic Document Management System (EDMS)

Remote

Job Overview
We are seeking an experienced Data Engineer to support the implementation of a large-scale Electronic Document Management System (EDMS). The role will focus on designing and executing robust data migration strategies, developing scalable data pipelines, and ensuring accurate migration of structured and unstructured content from legacy systems to modern, cloud-based platforms.

Key Responsibilities

  • Design, build, and optimize data pipelines and ETL processes for large-scale content migrations.

  • Extract, transform, and load (ETL) data from legacy systems into the new EDMS.

  • Perform data validation, cleansing, and quality checks to ensure accuracy and consistency.

  • Implement best practices for metadata mapping, document classification, and file system modeling.

  • Collaborate with data modelers, business analysts, and stakeholders to deliver migration solutions.

  • Monitor, troubleshoot, and optimize migration activities for scalability, performance, and reliability.

Minimum Qualifications

  • 8+ years of experience as a Data Engineer or in a similar role.

  • Proven expertise in data migration projects with large, complex datasets.

  • Hands-on experience with ETL tools, SQL, and data integration frameworks.

  • Strong knowledge of data modeling, database design, and system integration.

  • Ability to work effectively in cross-functional teams in a fast-paced environment.

Preferred Qualifications

  • Experience with enterprise-scale document/content management systems (e.g., Laserfiche, OpenText, SharePoint, FileNet).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud).

  • Knowledge of metadata management and classification structures.

  • Background in migrating legacy data to cloud-based platforms.

  • Proficiency in Python, Java, or Scala for data engineering tasks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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