Lead Data Engineer – Real-Time Data & Cloud Solutions

ContractStaffingRecruiters.com; Arapahoe (NC); Remote; USD 120,000 - 170,000; Full time

Job summary

Contract Staffing Recruiters.com is seeking a Lead Data Engineer to drive complex data solutions across business and technology. The role involves hands-on development for data transformation and distribution to end users, plus analysis, design, and testing to deliver robust data products.

The candidate will work with BI and stakeholders to define metrics and acceptance criteria, serve as data SME, and collaborate with Data Product Managers, Architects, and Engineering teams to shape data

Qualifications

• Experience building data pipelines and data warehousing solutions.
• Strong SQL and Python proficiency for data processing.
• Knowledge of ETL design patterns and data modeling concepts.
• Experience with cloud-based data platforms (Azure/AWS).
• Familiarity with data governance and security best practices.

Responsibilities

• Translate objectives into success metrics and data requirements with BI stakeholders.
• Act as SME for data, analytics, and integration across domains.
• Collaborate with Data Product Managers, Architects, and Engineers on data flows.
• Provide design oversight and ensure alignment with enterprise standards.
• Develop scalable data solutions for real-time and batch data movement.
• Design and develop database objects and ETL processes.
• Understand data marts and data lakes; migrate legacy systems to data marts/lakes.
• Maintain comprehensive project documentation.
• Communicate effectively with technical and non-technical stakeholders.

Skills

Python

SQL

ETL

Data modeling

Cloud architecture

Tools

Oracle

SQL Server

MySQL

Databricks

Azure Synapse

Job description

Contract Staffing Recruiters.com is seeking a Lead Data Engineer to drive complex data solutions across business and technology. The role involves hands-on development for data transformation and distribution to end users, plus analysis, design, and testing to deliver robust data products.

The candidate will work with BI and stakeholders to define metrics and acceptance criteria, serve as data SME, and collaborate with Data Product Managers, Architects, and Engineering teams to shape data