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# AWS - Data Engineer

- **Company:** New Start Staffing, LLC
- **Location:** Irving, TX, United States
- **Experience:** Experienced
- **Salary:** $103,564.0 - $134,372.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Information Systems, Databases, Data Cleansing, Data Control, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Structures, Data Warehousing, Database Design, Dimensional Modeling, Python (Programming Language), Query Optimization, SQL Stored Procedures, Data Processing, Data Ingestion, Sql Optimization, Snowflake, Indexer, Microsoft Fabric, Infrastructure Automation Frameworks, Information Technology, Data Lineage, AWS Data Analytics, Data Management, Terraform, Software Version Control, Data Pipelines, Api Management, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/aws-data-engineer-irving-tx--ccc5de3a-d8aa-4779-b5ad-121fb3b4a01d

## About the Role

Amazon Web Services (AWS), Business Intelligence, Data Modeling, Data Structures, Amazon Web Services (AWS), Business Support, Cross-Functional, Database Design, Data Management, Dimensional Modeling, * Bachelor's or graduate degree in computer science, information systems or related field preferred, or similar combination of education and experience

 * At least 4 years' experience designing and managing data pipelines, schema modeling, and data processing systems.
 * Hands-on expertise with Databricks (or similar tools like Microsoft Fabric, Snowflake, etc.) to drive scalable data solutions.
 * Proficient in Python, with a track record of solving real-world data challenges.
 * Advanced SQL skills, including experience with database design, query optimization, and stored procedures.
 * Familiarity with AWS, Azure, or GCP data ecosystems and their key services.
 * Experience with Terraform or other infrastructure-as-code tools is a plus.
 * Must be willing and able to work in a hybrid office environment, with 4 days per week in office in the North America headquarters in the Dallas, Texas area
 * Must be willing and able to work in a hybrid office environment, with 4 days per week in office in the North America headquarters in the Dallas, Texas area

## Description

The AWS Data Engineer will own the planning, design, and implementation of data structures for our client North America in our AWS environment. This role will be responsible for incorporating all internal and external data sources into a robust, scalable, and comprehensive data model within AWS to support business intelligence and analytics needs throughout the company., * Collaborate with cross-functional teams to understand and define business intelligence needs and translate them into data modeling solutions

 * Develops, builds and maintains scalable data pipelines, data schema design, and dimensional data modelling in Databricks and AWS for all system data sources, API integrations, and bespoke data ingestion files from external sources
 * Responsible for data cleansing, standardization, and quality control
 * Create data models that will support comprehensive data insights, business intelligence tools, and other data science initiatives
 * Create data models and ETL procedures with traceability, data lineage and source control
 * Design and implement data integration and data quality framework
 * Implement data monitoring best practices with trigger based alerts for data processing KPIs and anomalies
 * Investigate and remediate data problems, performing and documenting thorough and complete root cause analyses. Make recommendation for mitigation and prevention of future issues.
 * Work with Business and IT to assess efficacy of all legacy data sources, making recommendations for migration, anonymization, archival and/or destruction.
 * Continually seek to optimize performance through database indexing, query optimization, stored procedures, etc.
 * Ensure compliance with data governance and data security requirements, including data life cycle management, purge and traceability.
 * Create and manage documentation and change control mechanisms for all technical design, implementations and systems maintenance.