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Data Engineering (Azure Databricks) with AI

Hybrid in Plano, TX, US • Posted 8 hours ago • Updated 8 hours ago

Contract Independent

12 Months

25% Travel Required

Able to Sponsor

Hybrid

$80 - $100/hr

Fitment

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Job Details

Skills

Data Validation
Conflict Resolution
ELT
Extract
Transform
Load
Good Clinical Practice
Communication
Enterprise Software
Global Delivery

Summary

Job Title: AI/ML Engineer

Location: Plano, TX

Duration: 18 Months + Extension

Bill Rate: $80-$92/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: H-1B, OPT-EAD, GC-EAD, -EAD

Key Responsibilities :-

Lead onshore and offshore data engineering teams across mixed vendor groups, including Capgemini and other partners.
Translate business and architecture requirements into technical designs and engineering tasks.
Develop and optimize ETL/ELT pipelines, data transformations, and Databricks workflows.
Ensure code quality, performance tuning, testing, and adherence to engineering best practices.
Coordinate with architects, project managers, business stakeholders, and vendor teams.
Provide mentoring and technical direction to junior and mid-level data engineers.
Participate in code reviews, issue resolution, deployment, and production support.
Support data validation, reconciliation, cutover planning, and post-migration stabilization.

Required Qualifications

8+ years of experience in data engineering, data warehousing, ETL/ELT, or analytics engineering.
2+ years of experience leading onshore/offshore engineering teams.
Strong hands-on expertise with **Databricks, Apache Spark, SQL, and Python/PySpark**.
Experience supporting data platform migration or modernization initiatives.
Familiarity with **Google Cloud Platform and Azure** cloud platforms.
Strong understanding of data pipelines, data lakehouse concepts, and large-scale data processing.
Experience working with global delivery teams and multiple vendor partners.
Strong communication, problem-solving, and technical troubleshooting skills.
Strong AI/ML and Generative AI architecture experience.
Enterprise solution and cloud architecture expertise.
Experience designing production-grade AI platforms and applications.
Strong understanding of LLMs, AI/ML frameworks, MLOps, and cloud services.
Excellent communication and stakeholder-management skills.

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.

Dice Id: 91099737
Position Id: SJ45695
Posted 8 hours ago

Contact the job poster

Ananya Sharma

Recruiter @ QUANTUM TECHNOLOGIES LLC

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