> Markdown version of [/jobs/ext/4705952-senior-data-engineer-aws-redshift](https://www.wearedevelopers.com/jobs/ext/4705952-senior-data-engineer-aws-redshift). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer (AWS Redshift)

- **Company:** Ryan, Benjamin
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Computer Engineering, Continuous Integration, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Dimensional Modeling, Identity and Access Management, Python (Programming Language), Machine Learning, Operational Databases, Query Optimization, Recommender Systems, Salesforce.Com, Software Engineering, SQL Stored Procedures, SQL Databases, Transaction Data, Enterprise Data Management, Data Processing, Data Storage Technologies, Sql Optimization, AWS Lambda, Git, Information Technology, AWS Glue, AWS Data Analytics, Cloudwatch, Data Pipelines, Amazon Redshift
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/9cf88a0d-1955-41fb-b8b4-800df8db9add

## About the Role

* 10 years of experience in data engineering, with strong hands-on experience in AWS Redshift.
 * Advanced SQL skills, including complex queries, joins, window functions, CTEs, and query optimization.
 * Strong Python programming experience for data processing and automation.
 * Experience developing ETL/ELT pipelines using AWS Glue, AWS Lambda, or equivalent tools.
 * Working knowledge of AWS S3, IAM, CloudWatch, and data integration services.
 * Experience with data warehousing, dimensional modeling, and large-scale data processing.
 * Experience troubleshooting data pipelines, performance issues, and production data failures.
 * Familiarity with Git, CI/CD, and enterprise data engineering practices.
 * Strong communication skills and ability to coordinate with multiple application and platform teams.
 * B.S degree in Computer Engineering or Computer Science or a related field.

Preferred Skills

 * Experience integrating AWS Redshift data with Salesforce applications.
 * Understanding of pricing, sales analytics, customer insights, or retail/distribution business processes.
 * Experience building datasets for AI/ML applications and recommendation engines.
 * Familiarity with AWS Step Functions, Airflow, dbt, or other orchestration and transformation frameworks.
 * Experience working within enterprise data platforms with centralized governance and shared services.

## Description

* Design, develop, and maintain scalable data pipelines using AWS Redshift, SQL, Python, and AWS data services.
 * Build and optimize ETL/ELT processes to ingest, transform, and publish data for downstream applications.
 * Develop efficient SQL queries, stored procedures, views, and data models within Redshift.
 * Optimize Redshift performance, including query tuning, workload management, and data storage efficiency.
 * Work with the SEED platform team to understand existing data architecture, standards, and governance requirements.
 * Support pricing, customer, product, sales, and transaction data requirements for the PGS application.
 * Enable reliable data integration between Redshift, APIs, Salesforce, and other consuming applications.
 * Troubleshoot data quality issues, pipeline failures, data latency, and performance bottlenecks.
 * Collaborate with business, application development, analytics, and AI teams to deliver new data requirements.
 * Support data preparation for Next Best Actions, customer insights, pricing recommendations, and AI-driven use cases.
 * Follow Sysco's security, access management, data governance, and deployment standards.