Data Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Recruiting
Employment Authorization
Engineering Design
Analytics
Data Storage
Data Quality
Collaboration
Data Governance
Extract
Transform
Load
Data Architecture
Workflow
Decision-making
Oracle Linux
Computer Science
Data Science
Data Engineering
SQL
Python
Big Data
Apache Hadoop
Apache Spark
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Data Warehouse
Business Intelligence
Data Modeling
Problem Solving
Conflict Resolution
Analytical Skill
SANS
Real-time
Streaming

Job Details

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

Summary: Data Engineers design, build, and maintain data pipelines and architecture. They ensure data availability, quality, and efficiency for analytics and business intelligence.

Key Responsibilities:

  1. Develop and maintain ETL pipelines.
  2. Integrate data from multiple sources.
  3. Optimize data storage, retrieval, and processing.
  4. Ensure data quality, consistency, and integrity.
  5. Collaborate with data scientists and analysts.
  6. Implement data governance and security measures.
  7. Monitor data pipeline performance and resolve issues.
  8. Document data architecture and workflows.
  9. Evaluate new data technologies and tools.
  10. Support data-driven decision-making processes.

Qualifications:

  • Bachelor s in Computer Science, Data Science, or related field.
  • 3-5 years of experience in data engineering.
  • Proficiency in SQL, Python, and big data tools (Hadoop, Spark).
  • Experience with cloud data platforms (AWS, Azure, Google Cloud Platform).

Preferred Skills/Duties:

  • Knowledge of data warehousing and BI tools.
  • Experience with data modeling and schema design.
  • Strong problem-solving and analytical skills.
  • Familiarity with real-time data streaming technologies.

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.