Senior Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
25% Travel

Skills

Amazon Web Services
Analytical Skill
Business Intelligence
Business Strategy
Cloud Computing
Computer Science
Continuous Delivery
Continuous Improvement
Continuous Integration
Data Engineering
Database
Database Performance Tuning
DevOps
ELT
Extract
Transform
Load
FME
Git
Good Clinical Practice
Google Cloud Platform
Information Technology
Management
Mentorship
Microsoft Azure
Microsoft Power BI
Microsoft SQL Server
Microsoft SSIS
Orchestration
Performance Tuning
Query Optimization
Red Gate
Transact-SQL
Version Control

Job Details

Position Senior Data Engineer

Location Mclean, VA (Hybrid)

Hire Type W2 contract

Responsibilities:-

  • Act as the bridge between junior data engineers and the Data Architect, mentoring team members while ensuring alignment to enterprise strategy.
  • Design, build, and optimize SQL Server databases and schemas to support both transactional and analytical workloads.
  • Develop and maintain scalable data pipelines (ETL/ELT) to integrate data from diverse enterprise systems.
  • Provide end-to-end project visibility, from business requirements through design, development, and delivery.
  • Perform advanced query tuning, indexing, and database performance optimization.
  • Automate database processes and integrate with CI/CD pipelines and version control systems.
  • Partner with architects, developers, and analysts to ensure data solutions meet business and technical needs.
  • Champion best practices in data engineering, governance, and performance, fostering a culture of continuous improvement.

Required:-

  • Bachelor s degree in Computer Science, Information Technology, or related field preferred.
  • 10+ years of professional experience in database engineering or data engineering roles.
  • Advanced SQL Server expertise (T-SQL, indexing, schema design, and performance tuning).
  • Strong ETL/ELT development experience (SSIS, FME, or comparable tools).
  • Hands-on experience with automation, DevOps practices, and version control (e.g., Git, RedGate).
  • Demonstrated ability to mentor and guide junior engineers while managing priorities across multiple projects.
  • Preferred: exposure to cloud platforms (Azure, AWS, or Google Cloud Platform), modern orchestration tools (dbt, Airflow), and BI solutions (Power BI, Fabric).
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.