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# Master Data Management Staff Engineer

- **Company:** NOVACOMP, INC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $60,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Automation of Tests, Cloud Database, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, IBM DB2, Relational Databases, Software Debugging, DevOps, Web Development, Amazon DynamoDB, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft SQL Server, MongoDB, Node.Js, NoSQL, Oracle (Applications), Programming Environments, Power BI, SAS (Software), Service-Oriented Architecture, Software Deployment, Software Engineering, Software Requirements Analysis, Systems Architecture, Tableau (Software), Web Services, Qliksense, Snowflake, Marklogic, Apache Spark, Data Lakes, AWS Glue, Data Analytics, Apache Kafka, Data Management, Tools for Reporting, Functional Programming, Terraform, Data Pipelines, Microservices
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=811e5812d5259541

## About the Role

* 8+ years in Enterprise Information Solution Architecture, design, and development
 * 8+ years hands-on with AWS (S3, Kinesis, Lambda, Athena, Glue, EMR)
 * 8+ years with integration architectures (ETL, SOA, Microservices, or similar)
 * 5+ years web development with Python and Node.js
 * 3+ years building cloud data warehouses (Snowflake and/or Redshift)
 * 3+ years with NoSQL databases (DynamoDB, MarkLogic, MongoDB)
 * 3+ years with BI tools (Qlik Sense, Tableau, or PowerBI)
 * 3+ years with analytics tools (SAS, R, Python, or similar)
 * Experience with Machine Learning / AI
 * Experience with DevOps and Terraform
 * Strong knowledge of multiple programming environments, debugging, and testing tools
 * Solid domain knowledge of NoSQL and/or relational databases
 * Proven experience developing enterprise-grade production software
 * Understanding of database architecture and performance implications
 * Excellent written/verbal communication; strong ownership, urgency, and drive
 * Ability to multitask and thrive in a collaborative Agile team

## Description

The Staff Engineer will build and operationalize enterprise data and analytics initiatives using industry-standard tools and practices. This person will design, manage, and optimize data pipelines and automate production deployments - a technical leadership role partnering closely with business and IT stakeholders to solve business problems through data engineering and analytics., * Design and develop pipelines ingesting from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services

 * Build streaming ingestion using Kinesis Streams, Kinesis Firehose, Kinesis Analytics, and Kafka (MSK)
 * Build and optimize a Data Lake on AWS S3 (partitioning, compression)
 * Perform data engineering/analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python, PowerBI, and SageMaker
 * Data modeling and Data Warehouse development using Snowflake
 * Participate in requirements definition, system architecture, and data architecture design
 * Contribute across the full software lifecycle using Agile methodologies