Senior AWS Data Engineer - Hybrid (CA) ETL & Warehousing

UNICON International Inc.; Torrance (CA); Hybrid; USD 140,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Job summary

UNICON International Inc. in Torrance, CA is seeking an AWS Data Engineer to design and maintain data integration pipelines. The role combines onsite work with one day of remote work, with a salary around $140–145k per year.

Responsibilities include building data workflows using AWS Glue/EMR and Airflow, leveraging PySpark and Python, and ensuring high data quality while meeting SLAs. Candidates should have extensive AWS experience and strong SQL/data warehouse skills.

Qualifications

• 5+ years of experience in data engineering, database design, ETL processes, and data warehousing.
• 3+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift, RDS, Spectrum and Airflow)
• 2+ years of experience with CI/CD tools.
• Strong knowledge of data storage and processing technologies, including databases and data lakes based distributed computing frameworks (e.g., Hadoop, Spark).
• 3+ years of programming in Python, Java, or Scala.

Responsibilities

• Design and implement data integration workflows using AWS Glue/EMR, AWS MWAA (Airflow), Lambda, Redshift.
• Demonstrate proficiency in PySpark, Apache Spark and Python for processing large datasets.
• Ensure data is accurately extracted, transformed, and loaded into target systems.
• Validate and cleanse data to maintain high data quality and integrity.
• Monitor, validate, and error-handle data pipelines to ensure reliability and SLAs.
• Optimize data workflows for performance, scalability, and cost-efficiency on AWS.

Skills

5+ years data engineering

AWS tools

CI/CD

data storage & processing

Python/Java/Scala

Tools

AWS EMR

AWS Glue

Airflow

Iceberg

Redshift

RDS

IDMC

Amazon Kiro

CI/CD tools

Job description

UNICON International Inc. in Torrance, CA is seeking an AWS Data Engineer to design and maintain data integration pipelines. The role combines onsite work with one day of remote work, with a salary around $140–145k per year.

Responsibilities include building data workflows using AWS Glue/EMR and Airflow, leveraging PySpark and Python, and ensuring high data quality while meeting SLAs. Candidates should have extensive AWS experience and strong SQL/data warehouse skills.