Senior Data Engneer With Strong Python W2 Contract Role.

Job Title: Senior Data Engineer (Python Focus)Location: San Jose, California OnsiteJob Type: Contract (W2)Interview Mode: Phone / Skype Position OverviewWe are urgently seeking a highly skilled and experienced Data Engineer with 8–11 years of hands-on expertise in designing, building, and optimizing data pipelines and architectures. This role is critical to a high-impact project in collaboration with one of our trusted vendor partners. The ideal candidate will bring deep technical proficiency, a collaborative mindset, and a passion for working with modern data technologies. Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines usingPython, Spark/ PySpark, and SQLImplement and optimize workflows in Apache Airflow for efficient data orchestrationWork within Databricks and Azure environments to manage large-scale data processing and analyticsCollaborate with cross-functional teams to integrate LLM (Large Language Model) capabilities into data workflowsEnsure data quality, reliability, and performance across all stages of the pipelineParticipate in code reviews, architecture discussions, and performance tuning Required Skills & Experience11–13 years of professional experience in data engineering or related rolesStrong programming skills in Python, with experience in building production-grade data solutionsProficiency in Spark or PySpark for distributed data processingAdvanced SQL skills for data manipulation and queryingHands-on experience with Databricks and Azure cloud servicesFamiliarity with Apache Airflow for workflow automationExposure to LLM implementation or generative AI integration is a strong plusExcellent communication and problem-solving abilitiesAdditional InformationCandidate will be working closely with a vendor partner, so strong collaboration and adaptability are essentialImmediate availability is preferred due to project urgency Job Type: Contract Pay: $65.00 - $70.00 per hour Expected hours: 40 per week Experience: Data Engineer: 10 years (Preferred) LLM: 5 years (Preferred) Python: 8 years (Preferred) Spark: 7 years (Preferred) PySpark: 5 years (Preferred) Databricks: 5 years (Preferred) Azure: 5 years (Preferred) Work Location: In person