Data Engineer (AI)

TL;DR

Data Engineer (Python/SQL): Developing and optimizing large-scale data pipelines and software engineering initiatives with an accent on ETL processes, database performance, and cloud integration. Focus on performance tuning, automating reports, and implementing big data technologies like Spark and Kafka.

Location: Charlotte, NC. Candidates must be willing to work on W2 only (NO C2C).

Company

hirify.global is a staffing agency providing contingent resource assignments for large-scale clients.

What you will do

• Consult on complex software engineering initiatives involving large-scale planning and broad business impact.
• Analyze and resolve multi-faceted engineering challenges requiring in-depth evaluation of compliance and policies.
• Develop and optimize data pipelines using ETL tools and frameworks.
• Manage data storage and retrieval using Parquet files within S3 buckets.
• Implement performance tuning and report automation for high-efficiency data processing.
• Collaborate strategically with client personnel to meet technical deliverables in an Agile environment.

Requirements

• 5+ years of Software Engineering experience or equivalent professional background.
• Proficiency in SQL and PLSQL database skills.
• Experience with Python or Java.
• Hands-on experience with ETL tools, data pipeline frameworks, and cloud platforms (AWS, GCP, or Azure).
• Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Kafka.
• Experience with Artificial Intelligence and both relational and NoSQL databases.

Culture & Benefits

• 12-month contract duration.
• W2 contract employment opportunity.
• Opportunity to work with one of the industry's largest clients.
• Agile work environment involving sprint planning and daily stand-ups.