Data Engineer – Hybrid & AI-Driven Lakehouse

CJ; Agoura Hills (CA); Hybrid; USD 88,540 - 135,632; Full time

Benefits offered by this job

401K matching

Medical, dental, vision coverage

Hybrid work environment

Paid holidays

Employee referral program

Team-building events

Wellness programs

Flexible time off

Job summary

CJ is seeking a Data Engineer to design, build, and maintain scalable data platforms and pipelines to support analytics, AI/ML, and reporting. The role spans cloud platforms, data ingestion, and lakehouse architectures, enabling cross-team data assets.

Applicants should have 3–5 years in data engineering, strong SQL/Python, and experience with Spark, Databricks, AWS, Snowflake, or GCP. This hybrid role requires three days in CJ offices and offers extensive data tooling and career growth.

Qualifications

• 3–5 years of experience in Data Engineering or Analytics Engineering.
• Experience with cloud-based data platforms such as Databricks, AWS, Snowflake, or Google Cloud.
• Familiarity with AI/NLP tools to improve developer productivity and code quality.
• Strong proficiency in SQL and Python; Spark experience preferred.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, SQL.
• Advocate AI-native engineering workflows and related tools to improve efficiency.
• Build and support data ingestion frameworks using APIs, SFTP, cloud storage, and databases.
• Develop data products within a modern Data Lakehouse architecture (Bronze/Silver/Gold).
• Create and optimize data workflows, orchestration, and monitoring for reliability.

Skills

SQL

Python

PySpark

Spark

ETL/ELT

Data Lake

Medallion architecture

Cloud platforms

Job description

CJ is seeking a Data Engineer to design, build, and maintain scalable data platforms and pipelines to support analytics, AI/ML, and reporting. The role spans cloud platforms, data ingestion, and lakehouse architectures, enabling cross-team data assets.

Applicants should have 3–5 years in data engineering, strong SQL/Python, and experience with Spark, Databricks, AWS, Snowflake, or GCP. This hybrid role requires three days in CJ offices and offers extensive data tooling and career growth.