Data Engineer

TechDigital Group; Torrance (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology firm is seeking a skilled Data Engineer located in Torrance, California. The role requires 3-5 years of experience in data engineering, strong expertise in building and optimizing ETL pipelines into Amazon Redshift, and proficiency in Python and SQL. Candidates should also have experience with distributed data processing and orchestration tools like Airflow. This position offers an opportunity to work within the AWS ecosystem.

Qualifications

• 3–5 years of experience in data engineering.
• Strong experience with distributed data processing.
• Hands-on expertise with data modeling and performance optimization.
• Expertise in building and optimizing ETL pipelines into Amazon Redshift.
• Proficiency in Python, PySpark, and SQL; familiarity with Iceberg tables preferred.
• Solid background in Data Analysis and Data Warehousing concepts.
• Orchestration experience with Airflow and AWS services.
• Experience with Redshift performance tuning and workload management.
• Cloud experience in AWS ecosystem preferred.

Skills

Data engineering experience

Distributed data processing (Spark, AWS Glue, EMR)

ETL pipeline optimization

Data modeling skills

Proficiency in Python

Proficiency in SQL

Experience with Airflow

Redshift performance tuning

Cloud experience (AWS)

Job description

• 3–5 years of experience in data engineering.

• Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).

• Hands-on expertise with data modeling, ETL pipelines, and performance optimization.

• Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift

• Proficiency in Python, PySpark and SQL; familiarity with Iceberg tables preferred.

• Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design, dimensional modeling, and reporting enablement).

• Orchestration experience with Airflow, Step Functions, and Lambda

• Experience with Redshift performance tuning, schema design, and workload management.

• Cloud experience (AWS ecosystem preferred).