Senior ETL Engineer: Data Warehousing & Cloud

Guidehouse; United States; Remoto; USD 113.000 - 188.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Learning Opportunities

Descrizione del lavoro

Guidehouse is seeking a senior ETL/ELT data engineer to design, develop, test, and maintain enterprise data pipelines and data warehouses across source systems. You will optimize performance, implement data quality, and collaborate with data architects and business teams in an Agile environment.

Responsibilities include building scalable ETL processes in cloud-based platforms, delivering runbooks, and supporting production deployments while ensuring governance and security standards.

Competenze

• U.S. Citizenship or Green Card required, with the ability to obtain a Public Trust clearance.
• Bachelor's degree in computer science, cybersecurity, engineering, or a related field; four additional years of relevant experience may be substituted in lieu of a degree.
• Minimum 6 years of hands-on experience in ETL development, data integration, and data warehousing.
• Strong experience with ETL tools such as Informatica, SSIS, Talend, DataStage, AWS Glue, or similar platforms.
• Proficiency in SQL and database technologies including SQL Server, Oracle, PostgreSQL, or MySQL.
• Experience designing complex data transformation, data migration, and integration.
• Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schemas.
• Experience working with cloud-based data services and modern data platforms.
• Knowledge of data quality, data governance, and metadata management best practices.
• Experience with performance tuning, error handling, and troubleshooting large-scale ETL processes.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in Agile development environments and collaborate across technical and business teams.

Mansioni

• Design, develop, test, and maintain enterprise ETL/ELT solutions to integrate data from multiple source systems.
• Develop scalable and high-performance data pipelines for batch and near real-time data processing.
• Build and maintain data integration workflows using modern ETL tools and cloud-based data platforms.
• Analyze source systems and business requirements to create efficient data mapping, transformation, and validation rules.
• Optimize ETL performance, troubleshoot data processing issues, and implement tuning strategies to improve efficiency.
• Collaborate with data architects, database administrators, business analysts, and application teams to deliver reliable data solutions.
• Develop and maintain data warehouses, operational data stores, and reporting data marts.
• Implement data quality checks, reconciliation processes, and exception handling frameworks.
• Create and maintain technical documentation, design specifications, and operational runbooks.
• Support production deployments, incident resolution, and continuous improvement initiatives.
• Ensure compliance with data governance, security, privacy, and organizational standards.

Conoscenze

ETL development

Data warehousing

SQL

Cloud data platforms

Agile

Data quality

Formazione

Bachelor's degree in computer science or related field

Strumenti

Informatica

SSIS

Talend

DataStage

AWS Glue

SQL Server

Descrizione del lavoro

Guidehouse is seeking a senior ETL/ELT data engineer to design, develop, test, and maintain enterprise data pipelines and data warehouses across source systems. You will optimize performance, implement data quality, and collaborate with data architects and business teams in an Agile environment.

Responsibilities include building scalable ETL processes in cloud-based platforms, delivering runbooks, and supporting production deployments while ensuring governance and security standards.