Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
API
Data Engineering
Analytical Skill
Analytics
Collaboration
Data Warehouse
Communication
Conflict Resolution
Data Integration
Data Processing
Data Quality
Database
Databricks
Extract
Transform
Load
JSON
Microsoft SQL Server
Microsoft SSIS
Optimization
Organizational Skills
Problem Solving
Programming Languages
Python
R
SQL
Storage
Systems Design
Workflow
XML
Job Details
Hi,
We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.
Job Title: REL Associate Data Engineer
Location: Hybrid - Vienna, VA / Winchester, VA / Pensacola, FL
Duration: Long-Term
Location: Hybrid - Vienna, VA / Winchester, VA / Pensacola, FL
Duration: Long-Term
Position Summary
We are seeking a REL Associate Data Engineer to design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. This role involves building and maintaining ETL workflows, ensuring data quality, and collaborating with business stakeholders to align technical solutions with organizational objectives. The ideal candidate will have strong SQL expertise, hands-on ETL/SSIS experience, and a solid foundation in modern data engineering tools and practices.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and workflows.
- Develop and maintain ETL processes using SQL Server Integration Services (SSIS).
- Format and process API-based data (JSON/XML) into SQL Server databases.
- Collaborate with business stakeholders to gather data requirements and translate into technical solutions.
- Ensure data quality, integrity, and performance across systems.
- Optimize existing data workflows for performance and reliability.
- Participate in team initiatives, collaborating with engineers and analysts on data solutions.
- Contribute to enforcing data engineering best practices and standards.
Qualifications
- Bachelor s degree in computer science, engineering, information systems, or a related field.
- 3 5+ years of data engineering experience (ETL, pipelines, data integration).
- Strong expertise in SQL (queries, optimization, and transformations).
- Experience with API frameworks and JSON transformations.
- Experience with Databricks or other modern data processing/analytics platforms.
- Familiarity with data warehousing, ETL tools, and data system design.
- Basic knowledge of programming languages (Python, R, SQL).
- Strong problem-solving, analytical, and organizational skills.
- Effective written and verbal communication skills for cross-functional collaboration.
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.