Data Engineer
Location: Cupertino, CA / Austin, TX
Work Arrangement: Hybrid
Start: Day 1 onsite
Only W2 ( USC,GC)
Interview: 2 rounds – 1 virtual and 1 onsite/in-person
Role Overview
We are seeking an experienced Data Engineer with a strong background in enterprise data engineering, data platforms, analytics, and AI/ML. The ideal candidate will have 12–16 years of experience working extensively with data and collaborating closely with Data Scientists, ML teams, engineering teams, and business stakeholders.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and enterprise data platforms.
Build robust ETL/ELT workflows for large-scale structured and unstructured datasets.
Work closely with Data Scientists and ML Engineers to prepare high-quality, model-ready datasets.
Develop data models, data lakes, data warehouses, and analytics solutions.
Support AI/ML initiatives through feature engineering, data preparation, and ML data pipelines.
Analyze complex datasets and provide actionable insights to business stakeholders.
Collaborate with business teams to understand requirements and translate them into scalable data solutions.
Optimize data pipelines, SQL queries, Spark jobs, and cloud-based data processing workloads.
Implement data quality, governance, lineage, security, and monitoring best practices.
Participate in architecture discussions and contribute to enterprise data strategy.
Clearly communicate technical concepts and data insights to both technical and non-technical stakeholders.
Required Skills
12–16 years of overall IT/data experience
Strong experience in Data Engineering, Data Analytics, or Data Architecture
Strong SQL and Python skills
Experience with Spark / PySpark
Strong ETL/ELT and data pipeline development experience
Experience with cloud data platforms such as AWS, Azure, or GCP
Experience working with Data Science / AI/ML teams
Hands-on exposure to AI/ML technologies and ML data pipelines
Strong understanding of data modeling, data warehousing, and data lakes
Excellent communication and stakeholder-management skills
Ability to interact directly with business stakeholders and explain complex data concepts clearly
Preferred Skills
Databricks
Snowflake
Kafka
Airflow
AWS Glue / Azure Data Factory
SageMaker / Vertex AI
Machine Learning / Generative AI
Data Governance and Data Lineage
Power BI / Tableau
Important: Candidates from a Data Engineer, Data Analyst, or Data Architect background are all acceptable, provided they have a strong data foundation, AI/ML exposure, experience working with Data Scientists, and excellent business communication skills.
Local candidates in Cupertino, CA or Austin, TX are strongly preferred. Day-1 onsite availability is required.

Data Engineer

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