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# Data Engineer

- **Company:** ASCENT SERVICES GROUP LLC
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Computer Programming, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, DevOps, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Tableau (Software), AWS Cdk, Pyspark, Infrastructure Automation Frameworks, Information Technology, AWS Lake Formation, AWS Glue, AWS Data Analytics, Build Tools, Data Pipelines, Amazon Redshift
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75867414-data-engineer

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
 * 7+ years of experience in data engineering, ETL development, or similar roles.
 * Experience working a lead role.
 * Expertise in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation.
 * Strong programming skills in SQL, Python, and PySpark.
 * Hands-on experience with data pipeline orchestration using Managed Airflow (MWAA).
 * Knowledge of data modeling, warehousing concepts, and performance tuning.
 * Familiarity with AWS CDK and AWS Build Tools for infrastructure automation.
 * Excellent problem-solving, analytical, and communication skills.
 * Experience working in Agile or DevOps environments.

## Description

* Design, build, and optimize scalable ETL pipelines using AWS Glue.
 * Develop and manage data workflows and orchestration using Managed Airflow (MWAA).
 * Write and optimize SQL and Python/PySpark scripts for data transformation and processing.
 * Architect and maintain data storage solutions using AWS Redshift and S3.
 * Implement and manage data cataloging, governance, and security using AWS Glue and Lake Formation.
 * Collaborate with analytics teams to support reporting and visualization using QuickSight and Tableau.
 * Automate infrastructure deployment using AWS CDK and AWS Build Tools.
 * Ensure high data quality, performance, and reliability across all data processes.
 * Drive best practices for data engineering, including CI/CD, monitoring, and documentation.
 * Mentor junior engineers and contribute to team development and knowledge sharing.