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# Senior Data engineer

- **Company:** American CyberSystems
- **Location:** Waltham, MA, United States
- **Experience:** Expert
- **Salary:** $88,000.0 - $103,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Apache HTTP Server, Data Validation, Data Dictionary, Data Governance, Extract Transform Load (ETL), Data Warehousing, Oracle Exadata, Oracle (Applications), Amazon Simple Notification Service (SNS), SQL Databases, Data Ingestion, Informatica Powercenter, System Availability, Cloudformation, Data Lakes, Pyspark, Collibra, AWS Glue, Functional Programming, Data Pipelines, Amazon Redshift
- **Published:** August 8, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=996043&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Knowledge on Data Warehousing concepts is essential and prior experience in Informatica Power Centre and Oracle Exadata will prove useful.
 * Excellent verbal and written communication skills required for interacting with management and peers
 * Ability to clearly summarize methodology and key points of program/report in technical documentation/specifications is also required.
 * Strong knowledge of outcomes research and analysis of health quality data.
 * Ability to work independently without day-to-day supervision or the use of template

## Description

* Strong technical skills in services like S3,Athena, Lambda, RDS, Event bridge, Lakeformation, Apache, SNS, Cloudformation, Secret manager, Glue and Glue(Pyspark), SQL, Data Warehousing, Informatica, Oracle.
 * Design, develop, and implement custom solutions within the Collibra platform to support data governance initiatives.
 * Create and enhance workflows, data dictionaries, connectors, and scripts to optimize data governance processes.
 * Design, build, and maintain scalable and reliable data pipelines using AWS services (such as AWS Glue, Lambda, S3, and Redshift).
 * Develop ETL processes for data ingestion, transformation, and loading into data lakes and warehouses.
 * Collaborate with data scientists and analysts to ensure data availability for analytics and reporting.
 * Integrate Collibra with AWS services to enable seamless data governance and management.
 * Leverage AWS security features and best practices to ensure data privacy and compliance.
 * Develop and automate data quality checks using both Collibra's data quality framework and AWS tools.
 * Collaborate with business stakeholders to define data quality rules and threshold
 * Stay up to date with Collibra and AWS updates, as well as industry trends, to suggest improvements and innovative solutions.
 * Contribute to the development of data governance and engineering best practices.


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