Senior Data Engineer – AWS Pipelines for Analytics & ML

Mondo; Burbank (CA); Hybrid; USD 89,544 - 96,432; Full time

Benefits offered by this job

Health insurance plan

Retirement plan

Paid sick leave eligibility

Job summary

A leading tech consultancy is seeking an experienced Data Engineer to design and develop scalable data pipelines in a hybrid work environment. Candidates should have at least 7 years of hands-on experience in data engineering, strong expertise in AWS tools, and proficiency in SQL, Python, and PySpark. This contract position offers a competitive hourly compensation ranging from $65 to $70, with potential for extension. The role is integral in providing data solutions that support analytics and AI/ML products.

Qualifications

• 7+ years of hands-on data engineering experience required.
• Strong experience in AWS necessary.
• Proficiency in SQL, Python, and PySpark is essential.

Responsibilities

• Design and develop data pipelines using AWS tools.
• Build and optimize pipelines for performance.
• Collaborate with architects for data modeling.

Skills

Data engineering experience

Expertise in AWS

SQL proficiency

Python proficiency

Experience with orchestration tools

Modern data platforms knowledge

Tools

AWS (Glue, Kinesis, Lambda, RDS, DynamoDB, S3)

SQL

Python

PySpark

Airflow

Snowflake

Databricks

Redshift

Job description

A leading tech consultancy is seeking an experienced Data Engineer to design and develop scalable data pipelines in a hybrid work environment. Candidates should have at least 7 years of hands-on experience in data engineering, strong expertise in AWS tools, and proficiency in SQL, Python, and PySpark. This contract position offers a competitive hourly compensation ranging from $65 to $70, with potential for extension. The role is integral in providing data solutions that support analytics and AI/ML products.