Data Engineer

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.

• Develop and maintain ETL pipelines.
• Integrate data from multiple sources.
• Optimize data storage, retrieval, and processing.
• Ensure data quality, consistency, and integrity.
• Collaborate with data scientists and analysts.
• Implement data governance and security measures.
• Monitor data pipeline performance and resolve issues.
• Document data architecture and workflows.
• Evaluate new data technologies and tools.
• Support data‑driven decision‑making processes.

• 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).

• 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.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Information Technology
• Industries:
  Software Development