Data Engineer AI/ML

Work Authorization : USC/(No Visa Sponsorship will be provided)

Job Type : Full - Time (Strictly W2 Only - No C2C allowed)

One of our client seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities 

Project Responsibility: End-to-end data pipelines and integrations

Technical Competencies:

• Advanced SQL optimization and complex query design
• Kafka streaming applications and connector development
• Databricks workflow development with medallion architecture
• Data governance implementation and compliance
• Performance tuning for large-scale data processing
• Data security and privacy best practices
• Apache NiFi pipeline development for invoice and PO processing
• Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
• Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
• Design and optimize data architectures for large-scale ML workloads
• Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills:

• Cross-functional collaboration with product and engineering teams
• Technical mentoring for junior data engineers
• Analytical thinking for complex data problems
• Stakeholder communication for data requirements
• Process improvement and efficiency focus
• Quality mindset for data accuracy and reliability Vendor Management:
• Direct communication with data platform vendors
• Evaluates vendor tools for specific data use cases
• Provides technical feedback on vendor product roadmaps
• Coordinates with vendors for data integration projects

Qualifications:

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production. 

Benefits:  

• Hybrid Work  

• Employer Matched 401K  

• Company Paid Medical Insurance Option for Employee and Dependent Children  

• Company Paid Dental Insurance for Employee   

• Company Paid Vision Insurance for Employee   

• Company Paid Long and Short-Term Disability  

• Company Paid Life and AD&D Insurance  

• 18 Paid Vacation Days a Year  

• Six Paid Holidays  

• Employee Recognition Programs  

• Holiday Bonus  

• Incentive Compensation  

• Community Outreach Opportunities  

• Business Casual Dress Code