Data Engineer III

Overview

On Site
Full Time

Skills

FOCUS
Analytics
Forecasting
Reporting
Development Testing
Data Quality
Real-time
Change Data Capture
Mentorship
Management
Privacy
Decision Support
Computer Science
Information Technology
Data Engineering
SQL
Dimensional Modeling
Cloud Computing
Data Warehouse
Extract
Transform
Load
Talend
Informatica
Streaming
API
Data Governance
Meta-data Management
Data Cleansing
Collaboration
Communication
Microsoft Azure
Data Lake
Oracle
Data Security
Access Control
Python
Regulatory Compliance

Job Details

Data Engineer III (Confidential Client)
Location: Nashville, TN (Hybrid Local candidates only)

Overview
A leading organization is seeking an experienced Data Engineer III to join its data and analytics team. This role will focus on designing, building, and enhancing modern data platforms and enterprise data environments. The ideal candidate has a strong background in cloud data engineering, data warehousing, streaming technologies, and enterprise-grade ETL development, with the ability to engage cross-functional stakeholders and drive scalable data solutions.

Responsibilities
Architect, build, and maintain scalable data pipelines and analytics environments using both on-premises and cloud technologies
Translate business and technical requirements into reliable data solutions that support analytics, forecasting, and reporting
Lead end-to-end delivery of data engineering initiatives, including planning, design, development, testing, and deployment
Implement data models, metadata strategies, data quality controls, and data governance best practices
Develop solutions involving real-time streaming, API integrations, and change data capture
Collaborate with cross-functional teams, provide technical mentorship, and document solution designs and standards
Support platform stability, manage tickets and requests, and ensure system availability and performance
Maintain strong data security, compliance, and privacy practices in alignment with regulatory standards
Partner with business stakeholders to understand needs and deliver high-quality data capabilities that enhance decision support

Required Skills
Bachelors degree in Computer Science, Information Technology, Engineering, or related field
7+ years of professional data engineering experience with increasing responsibility
Hands-on experience building and supporting modern data platforms, data lakes, and data warehouse environments
Strong proficiency in SQL and relational/dimensional data modeling
Experience with leading cloud data tools (Microsoft Azure preferred) and enterprise data warehouse solutions
Proficiency with ETL development using tools such as Talend, Informatica, or similar enterprise-grade platforms
Experience developing streaming and API-driven data integrations
Familiarity with data governance, metadata, data cleansing, and security practices
Proven ability to lead technical projects and collaborate with cross-functional stakeholders
Excellent communication skills and ability to present findings to technical and business leaders

Preferred Qualifications
Experience with Microsoft Azure services such as Data Lake, Data Factory, Synapse, or Fabric
Background with Oracle-based data environments
Knowledge of enterprise-class data security and access control tools
Programming experience with Python or similar languages
Experience supporting highly regulated or compliance-driven environments

How to Apply
For confidential consideration, please submit your resume. Our team will review your background and contact qualified candidates to discuss next steps. We look forward to connecting with you.

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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