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# AWS Senior Data Engineer

- **Company:** UNICON International, Inc.
- **Location:** Torrance, CA, United States
- **Experience:** Expert
- **Salary:** $161,000 - $166,000
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Databases, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Design, DevOps, Distributed Computing Environment, Apache Hadoop, Identity and Access Management, Python (Programming Language), Systems Development Life Cycle, Data Processing, Data Storage Technologies, Apache Spark, Informatica Cloud, Electronic Medical Records, Generative AI, Agentic-AI, Data Lakes, Pyspark, AWS Lake Formation, AWS Glue, Enterprise Integration, AWS Data Analytics, Data Management, Data Pipelines, Programming Languages
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/aws-senior-data-engineer-torrance-ca--8e664765-fa83-4fb1-b68c-436446dc886f

## About the Role

Amazon Web Services (AWS), Willing to Travel, Data Warehousing, Database Extract Transform and Load (ETL), Data Management, Data Processing, Data Quality, Amazon Web Services (AWS), Scalable System Development, Electronic Medical Records, 7+ years of experience in data engineering, database design, ETL processes, and data warehousing.
5+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift, RDS, Spectrum and Airflow)
5+ in programming languages such as Python, Pyspark, or Scala.
2+ years of experience with CI/CD tools and DevOps practices for automated build, deployment, and release of data pipelines.
2+ years of hands-on experience with AWS IAM and AWS Lake Formation, including IAM roles/policies, access controls, and data lake security/governance.
Strong knowledge of data storage and processing technologies, including databases and data lakes based distributed computing frameworks (e.g., Hadoop, Spark).
Experience with Informatica IDMC / Informatica Cloud.
Experience with Agentic AI or Generative AI use cases in Data Engineering.

## Description

We are looking for an experienced Senior Data Engineer with strong hands-on expertise in AWS data engineering, ETL/ELT development, data warehousing, and large-scale data processing. The candidate will design, develop, and optimize scalable data pipelines while ensuring data quality, reliability, performance, and cost efficiency.

WHAT YOU WILL BE DOING
Detailed Responsibilities:
Develop and Maintain Data Integration Solutions:
o Design and implement data integration workflows using AWS Glue/EMR,AWS MWAA(Airflow), Lambda, Redshift
o Demonstrate proficiency in Pyspark, Apache Spark and Python for data processing large datasets
o Ensure data is accurately and efficiently extracted, transformed, and loaded into target systems.

 * Ensure Data Quality and Integrity:
o Validate and cleanse data to maintain high data quality.
o Ensure data quality and integrity by implementing monitoring, validation, and error handling mechanisms within data pipelines

 * Optimize Data Integration Processes:
o Enhance the performance, optimization of data workflows to meet SLAs, scalability of data integration processes and cost-efficiency on AWS cloud infrastructure.
o Identify and resolve performance bottlenecks, fine-tuning queries, and optimizing data processing to enhance Redshift's performance
o Regularly review and refine integration processes to improve efficiency.

 * Support Business Intelligence and Analytics.
o Translate business requirements into technical specifications and production-ready data pipelines.
o Ensure timely availability of integrated data for business intelligence and analytics.
o Collaborate with data analysts and business stakeholders to meet their data requirements.

 * Maintain technical documentation and ensure compliance with data governance, security, and regulatory standards.